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Scatter chart Since 0.7.0

Multiple series shown as a scatter plot. Similar to a line chart.

Usage

To use this component in a Nunjucks template you would add the following (assumes you've loaded OI Lume Viz into componentNamespace: 'oi'):

{% comp 'oi.chart.scatter', { "config": config } %}{% endcomp %}

where config is replaced by an object that contains some or all of these variables:

  • data - Either a reference to a CSV file in the Lume site or an array of rows with named attributes
  • columns - As with many of the visualisation types you can optionally add virtual columns.
  • colours - Define some visualisation-specific named colours.
  • width - Set a specific width for the visualisation.
  • height - Set a specific height for the visualisation.
  • axis - Define the x (horizontal) axis.
  • legend - Define the legend.
  • series - An ordered array of series. Each one is of the form:
    • title - The display name of the series.
    • x - The title of the column to use for the horizontal axis value.
    • y - The title of the column to use for the vertical axis value.
    • colour - The hex code to use to colour this series.
    • tooltip - Either a string, template string, or the column heading to use to build a tooltip.
    • points - Properties of the points:
      • size - The size of the point.
      • marker - One of circle, triangle, square, diamond, pentagon, hexagon, octagon, line, or cross.
      • rotate - How much to rotate the marker around its centre by, in degrees.
    • where - Limit the rows to include
  • attribution - Add a line of attribution text under the visualisation.

Examples

  1. Basic
  2. Auto-generated grid
  3. Explicitly defined grid
  4. Category-based data
  5. Custom icons
  6. Gaps in series
  7. Limiting a series to specific rows

1. Basic§

Embeddable version

This is a basic scatter chart with one data series showing unemployment over time for 16-17 year olds (data from the ONS's A01: Summary of labour market statistics). The graph is auto-scaled to the data using axis → x → tick → spacing and axis → y → tick → spacing. The tick marks for each axis are defined using those same properties and styled with axis → x → grid.

16-17
199720022007201220172022182328333816-17 1992.3333: 18.0600528516-17 1992.416667: 18.8464332316-17 1992.5: 19.6350955516-17 1992.583333: 19.1589618216-17 1992.66666: 18.3999379216-17 1992.75: 17.7000536616-17 1992.83333: 18.0119551216-17 1992.916667: 18.9435365416-17 1993: 19.8071882816-17 1993.083333: 20.0455722716-17 1993.16666: 19.6242327316-17 1993.25: 19.5838433716-17 1993.3333: 19.1872078916-17 1993.416667: 19.3206987816-17 1993.5: 19.2141024416-17 1993.583333: 20.0634998216-17 1993.66666: 20.160176116-17 1993.75: 20.6413623916-17 1993.83333: 19.7237544216-17 1993.916667: 20.2397389116-17 1994: 19.9620240716-17 1994.083333: 19.6474103716-17 1994.16666: 19.6581605116-17 1994.25: 19.7797112716-17 1994.3333: 19.9636000116-17 1994.416667: 19.2103822416-17 1994.5: 19.367014216-17 1994.583333: 19.365816416-17 1994.66666: 19.9103055516-17 1994.75: 19.5328270916-17 1994.83333: 19.1962021316-17 1994.916667: 18.05251416-17 1995: 18.0319390716-17 1995.083333: 18.8643175916-17 1995.16666: 19.020535516-17 1995.25: 19.8465882316-17 1995.3333: 19.3657818116-17 1995.416667: 19.7164310516-17 1995.5: 19.1563606216-17 1995.583333: 18.7585419316-17 1995.66666: 18.6457437416-17 1995.75: 18.6822278916-17 1995.83333: 19.2373417516-17 1995.916667: 18.5722641216-17 1996: 18.6443329216-17 1996.083333: 18.3774064216-17 1996.16666: 18.4427678616-17 1996.25: 19.7233518416-17 1996.3333: 20.1416228916-17 1996.416667: 20.1802105416-17 1996.5: 19.8310624316-17 1996.583333: 19.7944609816-17 1996.66666: 20.3999959216-17 1996.75: 21.2814050716-17 1996.83333: 21.0145746816-17 1996.916667: 20.7268533616-17 1997: 20.6411561116-17 1997.083333: 19.9201443116-17 1997.16666: 19.6992420616-17 1997.25: 18.9984338316-17 1997.3333: 19.5213080516-17 1997.416667: 19.975272216-17 1997.5: 20.3123095116-17 1997.583333: 19.8266512216-17 1997.66666: 18.1955457416-17 1997.75: 18.2398805216-17 1997.83333: 18.7374682116-17 1997.916667: 18.6862508716-17 1998: 19.3304806816-17 1998.083333: 19.9054292516-17 1998.16666: 19.8334157516-17 1998.25: 19.6348443316-17 1998.3333: 18.7832296816-17 1998.416667: 20.0882765816-17 1998.5: 20.0539718116-17 1998.583333: 20.7128229716-17 1998.66666: 19.3335106516-17 1998.75: 19.3387885716-17 1998.83333: 19.5737239216-17 1998.916667: 20.026029316-17 1999: 20.648766416-17 1999.083333: 20.8430107116-17 1999.16666: 20.4171050216-17 1999.25: 20.7544221616-17 1999.3333: 20.0618736216-17 1999.416667: 20.5558296616-17 1999.5: 20.3275202316-17 1999.583333: 21.1277852716-17 1999.66666: 20.1831320616-17 1999.75: 19.9047348216-17 1999.83333: 19.4941238216-17 1999.916667: 20.1470211716-17 2000: 20.0569597216-17 2000.083333: 20.7089652416-17 2000.16666: 20.7267492216-17 2000.25: 21.626300816-17 2000.3333: 20.8631972116-17 2000.416667: 19.7313822116-17 2000.5: 18.5866696216-17 2000.583333: 19.694807216-17 2000.66666: 20.8826769916-17 2000.75: 21.2801624216-17 2000.83333: 20.8481207916-17 2000.916667: 19.7563129516-17 2001: 19.2185111116-17 2001.083333: 19.5567779116-17 2001.16666: 18.7583586316-17 2001.25: 18.0591485516-17 2001.3333: 17.9698558716-17 2001.416667: 18.5862925116-17 2001.5: 19.5522715916-17 2001.583333: 19.8087273116-17 2001.66666: 19.7545727116-17 2001.75: 19.5376634216-17 2001.83333: 19.4897162116-17 2001.916667: 19.1234923616-17 2002: 19.0267365616-17 2002.083333: 18.6277387116-17 2002.16666: 19.0155703216-17 2002.25: 19.1401437216-17 2002.3333: 20.0534858716-17 2002.416667: 19.9911451216-17 2002.5: 19.3471084216-17 2002.583333: 19.5752974116-17 2002.66666: 19.9824993916-17 2002.75: 20.3280587116-17 2002.83333: 20.5350991716-17 2002.916667: 21.2226871216-17 2003: 21.2234287816-17 2003.083333: 21.1439407316-17 2003.16666: 20.4839231516-17 2003.25: 21.0494939316-17 2003.3333: 21.3974911816-17 2003.416667: 21.3166349116-17 2003.5: 21.0581612316-17 2003.583333: 21.0171659416-17 2003.66666: 20.9776005316-17 2003.75: 21.332669916-17 2003.83333: 20.5922372316-17 2003.916667: 20.9713884516-17 2004: 20.8124863216-17 2004.083333: 21.2529189516-17 2004.16666: 21.3775060616-17 2004.25: 21.9746516616-17 2004.3333: 21.532904516-17 2004.416667: 21.48535916-17 2004.5: 21.7186277816-17 2004.583333: 21.5042362716-17 2004.66666: 22.0764079916-17 2004.75: 21.0942408516-17 2004.83333: 21.2012910916-17 2004.916667: 20.88774716-17 2005: 21.4044604516-17 2005.083333: 21.548671216-17 2005.16666: 22.1481410816-17 2005.25: 21.9597103516-17 2005.3333: 21.905716716-17 2005.416667: 21.973059416-17 2005.5: 21.7984021216-17 2005.583333: 22.2659615816-17 2005.66666: 22.3060126516-17 2005.75: 23.8524068816-17 2005.83333: 23.8426706616-17 2005.916667: 25.1287353416-17 2006: 25.5403799616-17 2006.083333: 25.3821844216-17 2006.16666: 24.6934348916-17 2006.25: 24.5775113416-17 2006.3333: 24.6063195216-17 2006.416667: 24.1411668516-17 2006.5: 23.7553171216-17 2006.583333: 23.4707323616-17 2006.66666: 24.953094816-17 2006.75: 25.1412888316-17 2006.83333: 25.1445582916-17 2006.916667: 24.905261216-17 2007: 25.3471851616-17 2007.083333: 26.176167616-17 2007.16666: 26.2790393716-17 2007.25: 26.2232680316-17 2007.3333: 26.5091930316-17 2007.416667: 27.452816416-17 2007.5: 28.4332089316-17 2007.583333: 28.2578058616-17 2007.66666: 29.1493741316-17 2007.75: 27.5624096316-17 2007.83333: 26.118084316-17 2007.916667: 25.0039821516-17 2008: 24.1456848716-17 2008.083333: 24.2231113716-17 2008.16666: 24.1748448216-17 2008.25: 25.2951687916-17 2008.3333: 25.3170696216-17 2008.416667: 26.1018792216-17 2008.5: 26.02235416-17 2008.583333: 26.8715613116-17 2008.66666: 26.4807889316-17 2008.75: 27.2047762816-17 2008.83333: 27.7994724616-17 2008.916667: 28.1582918416-17 2009: 28.5134928816-17 2009.083333: 27.5769279916-17 2009.16666: 29.1706030916-17 2009.25: 29.7486845116-17 2009.3333: 31.0450661216-17 2009.416667: 32.3005607916-17 2009.5: 35.0754894116-17 2009.583333: 34.5168346316-17 2009.66666: 33.6760871416-17 2009.75: 32.6454590716-17 2009.83333: 32.8679180416-17 2009.916667: 32.9795685716-17 2010: 33.7491374216-17 2010.083333: 34.1177502716-17 2010.16666: 34.7979954616-17 2010.25: 36.474327616-17 2010.3333: 36.1338375616-17 2010.416667: 33.7201156516-17 2010.5: 33.1712204716-17 2010.583333: 32.6644037716-17 2010.66666: 34.0315341616-17 2010.75: 36.1690203416-17 2010.83333: 36.8628412216-17 2010.916667: 37.4663761116-17 2011: 37.2200714316-17 2011.083333: 37.4078741316-17 2011.16666: 37.2219533416-17 2011.25: 36.5434768816-17 2011.3333: 36.4257460516-17 2011.416667: 37.0353567516-17 2011.5: 37.4930592416-17 2011.583333: 38.7038496916-17 2011.66666: 40.4244140916-17 2011.75: 39.5229113816-17 2011.83333: 38.5745736516-17 2011.916667: 37.7157254116-17 2012: 38.9490920216-17 2012.083333: 38.2088288316-17 2012.16666: 37.1819635316-17 2012.25: 36.6844673816-17 2012.3333: 36.0606307216-17 2012.416667: 36.2270388316-17 2012.5: 36.6661164116-17 2012.583333: 36.1560787916-17 2012.66666: 35.3177049216-17 2012.75: 36.9535629916-17 2012.83333: 37.2933065516-17 2012.916667: 37.9011074516-17 2013: 37.3010002516-17 2013.083333: 38.4108354116-17 2013.16666: 37.4150297416-17 2013.25: 35.9392326916-17 2013.3333: 37.3813035316-17 2013.416667: 37.5393991416-17 2013.5: 38.0516889516-17 2013.583333: 36.628083716-17 2013.66666: 36.6738003816-17 2013.75: 36.2621725416-17 2013.83333: 36.5264693716-17 2013.916667: 36.8938019816-17 2014: 36.8682496916-17 2014.083333: 36.4359468516-17 2014.16666: 35.9698383316-17 2014.25: 34.6984957216-17 2014.3333: 34.0750198516-17 2014.416667: 33.4828450516-17 2014.5: 33.7076612616-17 2014.583333: 33.55778616-17 2014.66666: 33.1299789716-17 2014.75: 32.8353093816-17 2014.83333: 32.2716854116-17 2014.916667: 31.5619821616-17 2015: 30.7751751816-17 2015.083333: 30.9034503316-17 2015.16666: 29.49409916-17 2015.25: 29.8695099316-17 2015.3333: 28.5674854316-17 2015.416667: 28.5837607916-17 2015.5: 28.081164816-17 2015.583333: 28.1257398216-17 2015.66666: 27.019805516-17 2015.75: 24.8520040416-17 2015.83333: 25.6929971816-17 2015.916667: 26.8274289716-17 2016: 26.903929516-17 2016.083333: 25.9945806316-17 2016.16666: 25.5560660516-17 2016.25: 27.2046836316-17 2016.3333: 28.2765953516-17 2016.416667: 28.8290076116-17 2016.5: 29.0623810416-17 2016.583333: 28.6957536916-17 2016.66666: 26.7185709716-17 2016.75: 27.3535538416-17 2016.83333: 25.657560216-17 2016.916667: 24.6288975916-17 2017: 23.0467432316-17 2017.083333: 25.1265723716-17 2017.16666: 26.7002147516-17 2017.25: 26.5135488616-17 2017.3333: 25.3677541116-17 2017.416667: 24.6783325716-17 2017.5: 24.0861009516-17 2017.583333: 23.4875781816-17 2017.66666: 23.4605379716-17 2017.75: 24.144727916-17 2017.83333: 25.7440672116-17 2017.916667: 26.5883904816-17 2018: 27.1326903716-17 2018.083333: 27.0177982916-17 2018.16666: 26.4460582516-17 2018.25: 24.7173800116-17 2018.3333: 23.3630539916-17 2018.416667: 22.2628842816-17 2018.5: 22.3563903216-17 2018.583333: 21.8770935616-17 2018.66666: 21.2942928316-17 2018.75: 22.8367132316-17 2018.83333: 24.8262866616-17 2018.916667: 24.2590943616-17 2019: 22.1719539416-17 2019.083333: 21.0034889716-17 2019.16666: 19.1970681416-17 2019.25: 20.3176361616-17 2019.3333: 19.5564926216-17 2019.416667: 19.3553733116-17 2019.5: 19.2767940416-17 2019.583333: 20.2526384516-17 2019.66666: 20.9612630416-17 2019.75: 19.9955693716-17 2019.83333: 21.3832169816-17 2019.916667: 22.5121212416-17 2020: 22.1430607816-17 2020.083333: 23.802524116-17 2020.16666: 24.4523680516-17 2020.25: 25.9839092216-17 2020.3333: 24.4874445716-17 2020.416667: 25.60143316-17 2020.5: 24.1381315116-17 2020.583333: 24.6053759916-17 2020.66666: 26.3439509416-17 2020.75: 28.9251421116-17 2020.83333: 26.4417507416-17 2020.916667: 26.7471877316-17 2021: 29.0003238716-17 2021.083333: 31.9703198916-17 2021.16666: 29.8628692216-17 2021.25: 32.2880934216-17 2021.3333: 34.1442893816-17 2021.416667: 33.4109860216-17 2021.5: 30.1652477816-17 2021.583333: 24.8023911316-17 2021.66666: 22.5087733516-17 2021.75: 22.1765969416-17 2021.83333: 22.1364507716-17 2021.916667: 20.619908116-17 2022: 22.3498113216-17 2022.083333: 21.9405890116-17 2022.16666: 22.6032818816-17 2022.25: 22.388057816-17 2022.3333: 21.34111192

This example was made with config:

YAML
data: test.data.unemploymentByAge
series:
  - title: 16-17
    x: Year
    y: 16-17→rate (%)1
    colour: '#e52e36'
JSON
{
	"data": "test.data.unemploymentByAge",
	"series": [{
			"title": "16-17",
			"x": "Year",
			"y": "16-17→rate (%)1",
			"colour": "#e52e36"
		}]
}

2. Auto-generated grid§

Embeddable version

This is a basic scatter chart showing the same data as above. In this example we have auto-scaled each axis to the data using axis → x → tick → spacing and axis → y → tick → spacing. The tick → spacing values are used to auto generate tick marks which are styled with axis → x → grid and axis → y → grid.

16-17
199019952000200520102015202020251520253035404516-17 1992.3333: 18.0600528516-17 1992.416667: 18.8464332316-17 1992.5: 19.6350955516-17 1992.583333: 19.1589618216-17 1992.66666: 18.3999379216-17 1992.75: 17.7000536616-17 1992.83333: 18.0119551216-17 1992.916667: 18.9435365416-17 1993: 19.8071882816-17 1993.083333: 20.0455722716-17 1993.16666: 19.6242327316-17 1993.25: 19.5838433716-17 1993.3333: 19.1872078916-17 1993.416667: 19.3206987816-17 1993.5: 19.2141024416-17 1993.583333: 20.0634998216-17 1993.66666: 20.160176116-17 1993.75: 20.6413623916-17 1993.83333: 19.7237544216-17 1993.916667: 20.2397389116-17 1994: 19.9620240716-17 1994.083333: 19.6474103716-17 1994.16666: 19.6581605116-17 1994.25: 19.7797112716-17 1994.3333: 19.9636000116-17 1994.416667: 19.2103822416-17 1994.5: 19.367014216-17 1994.583333: 19.365816416-17 1994.66666: 19.9103055516-17 1994.75: 19.5328270916-17 1994.83333: 19.1962021316-17 1994.916667: 18.05251416-17 1995: 18.0319390716-17 1995.083333: 18.8643175916-17 1995.16666: 19.020535516-17 1995.25: 19.8465882316-17 1995.3333: 19.3657818116-17 1995.416667: 19.7164310516-17 1995.5: 19.1563606216-17 1995.583333: 18.7585419316-17 1995.66666: 18.6457437416-17 1995.75: 18.6822278916-17 1995.83333: 19.2373417516-17 1995.916667: 18.5722641216-17 1996: 18.6443329216-17 1996.083333: 18.3774064216-17 1996.16666: 18.4427678616-17 1996.25: 19.7233518416-17 1996.3333: 20.1416228916-17 1996.416667: 20.1802105416-17 1996.5: 19.8310624316-17 1996.583333: 19.7944609816-17 1996.66666: 20.3999959216-17 1996.75: 21.2814050716-17 1996.83333: 21.0145746816-17 1996.916667: 20.7268533616-17 1997: 20.6411561116-17 1997.083333: 19.9201443116-17 1997.16666: 19.6992420616-17 1997.25: 18.9984338316-17 1997.3333: 19.5213080516-17 1997.416667: 19.975272216-17 1997.5: 20.3123095116-17 1997.583333: 19.8266512216-17 1997.66666: 18.1955457416-17 1997.75: 18.2398805216-17 1997.83333: 18.7374682116-17 1997.916667: 18.6862508716-17 1998: 19.3304806816-17 1998.083333: 19.9054292516-17 1998.16666: 19.8334157516-17 1998.25: 19.6348443316-17 1998.3333: 18.7832296816-17 1998.416667: 20.0882765816-17 1998.5: 20.0539718116-17 1998.583333: 20.7128229716-17 1998.66666: 19.3335106516-17 1998.75: 19.3387885716-17 1998.83333: 19.5737239216-17 1998.916667: 20.026029316-17 1999: 20.648766416-17 1999.083333: 20.8430107116-17 1999.16666: 20.4171050216-17 1999.25: 20.7544221616-17 1999.3333: 20.0618736216-17 1999.416667: 20.5558296616-17 1999.5: 20.3275202316-17 1999.583333: 21.1277852716-17 1999.66666: 20.1831320616-17 1999.75: 19.9047348216-17 1999.83333: 19.4941238216-17 1999.916667: 20.1470211716-17 2000: 20.0569597216-17 2000.083333: 20.7089652416-17 2000.16666: 20.7267492216-17 2000.25: 21.626300816-17 2000.3333: 20.8631972116-17 2000.416667: 19.7313822116-17 2000.5: 18.5866696216-17 2000.583333: 19.694807216-17 2000.66666: 20.8826769916-17 2000.75: 21.2801624216-17 2000.83333: 20.8481207916-17 2000.916667: 19.7563129516-17 2001: 19.2185111116-17 2001.083333: 19.5567779116-17 2001.16666: 18.7583586316-17 2001.25: 18.0591485516-17 2001.3333: 17.9698558716-17 2001.416667: 18.5862925116-17 2001.5: 19.5522715916-17 2001.583333: 19.8087273116-17 2001.66666: 19.7545727116-17 2001.75: 19.5376634216-17 2001.83333: 19.4897162116-17 2001.916667: 19.1234923616-17 2002: 19.0267365616-17 2002.083333: 18.6277387116-17 2002.16666: 19.0155703216-17 2002.25: 19.1401437216-17 2002.3333: 20.0534858716-17 2002.416667: 19.9911451216-17 2002.5: 19.3471084216-17 2002.583333: 19.5752974116-17 2002.66666: 19.9824993916-17 2002.75: 20.3280587116-17 2002.83333: 20.5350991716-17 2002.916667: 21.2226871216-17 2003: 21.2234287816-17 2003.083333: 21.1439407316-17 2003.16666: 20.4839231516-17 2003.25: 21.0494939316-17 2003.3333: 21.3974911816-17 2003.416667: 21.3166349116-17 2003.5: 21.0581612316-17 2003.583333: 21.0171659416-17 2003.66666: 20.9776005316-17 2003.75: 21.332669916-17 2003.83333: 20.5922372316-17 2003.916667: 20.9713884516-17 2004: 20.8124863216-17 2004.083333: 21.2529189516-17 2004.16666: 21.3775060616-17 2004.25: 21.9746516616-17 2004.3333: 21.532904516-17 2004.416667: 21.48535916-17 2004.5: 21.7186277816-17 2004.583333: 21.5042362716-17 2004.66666: 22.0764079916-17 2004.75: 21.0942408516-17 2004.83333: 21.2012910916-17 2004.916667: 20.88774716-17 2005: 21.4044604516-17 2005.083333: 21.548671216-17 2005.16666: 22.1481410816-17 2005.25: 21.9597103516-17 2005.3333: 21.905716716-17 2005.416667: 21.973059416-17 2005.5: 21.7984021216-17 2005.583333: 22.2659615816-17 2005.66666: 22.3060126516-17 2005.75: 23.8524068816-17 2005.83333: 23.8426706616-17 2005.916667: 25.1287353416-17 2006: 25.5403799616-17 2006.083333: 25.3821844216-17 2006.16666: 24.6934348916-17 2006.25: 24.5775113416-17 2006.3333: 24.6063195216-17 2006.416667: 24.1411668516-17 2006.5: 23.7553171216-17 2006.583333: 23.4707323616-17 2006.66666: 24.953094816-17 2006.75: 25.1412888316-17 2006.83333: 25.1445582916-17 2006.916667: 24.905261216-17 2007: 25.3471851616-17 2007.083333: 26.176167616-17 2007.16666: 26.2790393716-17 2007.25: 26.2232680316-17 2007.3333: 26.5091930316-17 2007.416667: 27.452816416-17 2007.5: 28.4332089316-17 2007.583333: 28.2578058616-17 2007.66666: 29.1493741316-17 2007.75: 27.5624096316-17 2007.83333: 26.118084316-17 2007.916667: 25.0039821516-17 2008: 24.1456848716-17 2008.083333: 24.2231113716-17 2008.16666: 24.1748448216-17 2008.25: 25.2951687916-17 2008.3333: 25.3170696216-17 2008.416667: 26.1018792216-17 2008.5: 26.02235416-17 2008.583333: 26.8715613116-17 2008.66666: 26.4807889316-17 2008.75: 27.2047762816-17 2008.83333: 27.7994724616-17 2008.916667: 28.1582918416-17 2009: 28.5134928816-17 2009.083333: 27.5769279916-17 2009.16666: 29.1706030916-17 2009.25: 29.7486845116-17 2009.3333: 31.0450661216-17 2009.416667: 32.3005607916-17 2009.5: 35.0754894116-17 2009.583333: 34.5168346316-17 2009.66666: 33.6760871416-17 2009.75: 32.6454590716-17 2009.83333: 32.8679180416-17 2009.916667: 32.9795685716-17 2010: 33.7491374216-17 2010.083333: 34.1177502716-17 2010.16666: 34.7979954616-17 2010.25: 36.474327616-17 2010.3333: 36.1338375616-17 2010.416667: 33.7201156516-17 2010.5: 33.1712204716-17 2010.583333: 32.6644037716-17 2010.66666: 34.0315341616-17 2010.75: 36.1690203416-17 2010.83333: 36.8628412216-17 2010.916667: 37.4663761116-17 2011: 37.2200714316-17 2011.083333: 37.4078741316-17 2011.16666: 37.2219533416-17 2011.25: 36.5434768816-17 2011.3333: 36.4257460516-17 2011.416667: 37.0353567516-17 2011.5: 37.4930592416-17 2011.583333: 38.7038496916-17 2011.66666: 40.4244140916-17 2011.75: 39.5229113816-17 2011.83333: 38.5745736516-17 2011.916667: 37.7157254116-17 2012: 38.9490920216-17 2012.083333: 38.2088288316-17 2012.16666: 37.1819635316-17 2012.25: 36.6844673816-17 2012.3333: 36.0606307216-17 2012.416667: 36.2270388316-17 2012.5: 36.6661164116-17 2012.583333: 36.1560787916-17 2012.66666: 35.3177049216-17 2012.75: 36.9535629916-17 2012.83333: 37.2933065516-17 2012.916667: 37.9011074516-17 2013: 37.3010002516-17 2013.083333: 38.4108354116-17 2013.16666: 37.4150297416-17 2013.25: 35.9392326916-17 2013.3333: 37.3813035316-17 2013.416667: 37.5393991416-17 2013.5: 38.0516889516-17 2013.583333: 36.628083716-17 2013.66666: 36.6738003816-17 2013.75: 36.2621725416-17 2013.83333: 36.5264693716-17 2013.916667: 36.8938019816-17 2014: 36.8682496916-17 2014.083333: 36.4359468516-17 2014.16666: 35.9698383316-17 2014.25: 34.6984957216-17 2014.3333: 34.0750198516-17 2014.416667: 33.4828450516-17 2014.5: 33.7076612616-17 2014.583333: 33.55778616-17 2014.66666: 33.1299789716-17 2014.75: 32.8353093816-17 2014.83333: 32.2716854116-17 2014.916667: 31.5619821616-17 2015: 30.7751751816-17 2015.083333: 30.9034503316-17 2015.16666: 29.49409916-17 2015.25: 29.8695099316-17 2015.3333: 28.5674854316-17 2015.416667: 28.5837607916-17 2015.5: 28.081164816-17 2015.583333: 28.1257398216-17 2015.66666: 27.019805516-17 2015.75: 24.8520040416-17 2015.83333: 25.6929971816-17 2015.916667: 26.8274289716-17 2016: 26.903929516-17 2016.083333: 25.9945806316-17 2016.16666: 25.5560660516-17 2016.25: 27.2046836316-17 2016.3333: 28.2765953516-17 2016.416667: 28.8290076116-17 2016.5: 29.0623810416-17 2016.583333: 28.6957536916-17 2016.66666: 26.7185709716-17 2016.75: 27.3535538416-17 2016.83333: 25.657560216-17 2016.916667: 24.6288975916-17 2017: 23.0467432316-17 2017.083333: 25.1265723716-17 2017.16666: 26.7002147516-17 2017.25: 26.5135488616-17 2017.3333: 25.3677541116-17 2017.416667: 24.6783325716-17 2017.5: 24.0861009516-17 2017.583333: 23.4875781816-17 2017.66666: 23.4605379716-17 2017.75: 24.144727916-17 2017.83333: 25.7440672116-17 2017.916667: 26.5883904816-17 2018: 27.1326903716-17 2018.083333: 27.0177982916-17 2018.16666: 26.4460582516-17 2018.25: 24.7173800116-17 2018.3333: 23.3630539916-17 2018.416667: 22.2628842816-17 2018.5: 22.3563903216-17 2018.583333: 21.8770935616-17 2018.66666: 21.2942928316-17 2018.75: 22.8367132316-17 2018.83333: 24.8262866616-17 2018.916667: 24.2590943616-17 2019: 22.1719539416-17 2019.083333: 21.0034889716-17 2019.16666: 19.1970681416-17 2019.25: 20.3176361616-17 2019.3333: 19.5564926216-17 2019.416667: 19.3553733116-17 2019.5: 19.2767940416-17 2019.583333: 20.2526384516-17 2019.66666: 20.9612630416-17 2019.75: 19.9955693716-17 2019.83333: 21.3832169816-17 2019.916667: 22.5121212416-17 2020: 22.1430607816-17 2020.083333: 23.802524116-17 2020.16666: 24.4523680516-17 2020.25: 25.9839092216-17 2020.3333: 24.4874445716-17 2020.416667: 25.60143316-17 2020.5: 24.1381315116-17 2020.583333: 24.6053759916-17 2020.66666: 26.3439509416-17 2020.75: 28.9251421116-17 2020.83333: 26.4417507416-17 2020.916667: 26.7471877316-17 2021: 29.0003238716-17 2021.083333: 31.9703198916-17 2021.16666: 29.8628692216-17 2021.25: 32.2880934216-17 2021.3333: 34.1442893816-17 2021.416667: 33.4109860216-17 2021.5: 30.1652477816-17 2021.583333: 24.8023911316-17 2021.66666: 22.5087733516-17 2021.75: 22.1765969416-17 2021.83333: 22.1364507716-17 2021.916667: 20.619908116-17 2022: 22.3498113216-17 2022.083333: 21.9405890116-17 2022.16666: 22.6032818816-17 2022.25: 22.388057816-17 2022.3333: 21.34111192

This example was made with config:

YAML
data: test.data.unemploymentByAge
axis:
  x:
    grid:
      show: true
    tick:
      spacing: 5
  'y':
    grid:
      show: true
    tick:
      spacing: 5
series:
  - title: 16-17
    x: Year
    y: 16-17→rate (%)1
    colour: '#e52e36'
JSON
{
	"data": "test.data.unemploymentByAge",
	"axis": {
		"x": {
			"grid": {
				"show": true
			},
			"tick": {
				"spacing": 5
			}
		},
		"y": {
			"grid": {
				"show": true
			},
			"tick": {
				"spacing": 5
			}
		}
	},
	"series": [{
			"title": "16-17",
			"x": "Year",
			"y": "16-17→rate (%)1",
			"colour": "#e52e36"
		}]
}

3. Explicitly defined grid§

Embeddable version

This more complicated chart shows four different age groups from A01: Summary of labour market statistics. In this case they all share a common x-value column in the data but they don't have to. We define titles for each axis. The x-axis range is explicitly limited to the years 2000 to 2022.5 with tick marks set every 2 years but only showing labels on the decades. The tickSize is defined per tick. The vertical lines (associated with ticks on the x-axis) have stroke-dasharray set to make them dashed and a tick → size set for the axis rather than for each tick. We can customise the tooltip for each series by providing a column/virtual column in the data or a string template. We also create an interactive legend.

50-64
25-49
18-24
16-17
Year200020102020Unemployment0%10%20%30%40%16-17
Nov-Jan 2000: 20.1%
16-17
Dec-Feb 2000: 20.7%
16-17
Jan-Mar 2000: 20.7%
16-17
Feb-Apr 2000: 21.6%
16-17
Mar-May 2000: 20.9%
16-17
Apr-Jun 2000: 19.7%
16-17
May-Jul 2000: 18.6%
16-17
Jun-Aug 2000: 19.7%
16-17
Jul-Sep 2000: 20.9%
16-17
Aug-Oct 2000: 21.3%
16-17
Sep-Nov 2000: 20.8%
16-17
Oct-Dec 2000: 19.8%
16-17
Nov-Jan 2001: 19.2%
16-17
Dec-Feb 2001: 19.6%
16-17
Jan-Mar 2001: 18.8%
16-17
Feb-Apr 2001: 18.1%
16-17
Mar-May 2001: 18.0%
16-17
Apr-Jun 2001: 18.6%
16-17
May-Jul 2001: 19.6%
16-17
Jun-Aug 2001: 19.8%
16-17
Jul-Sep 2001: 19.8%
16-17
Aug-Oct 2001: 19.5%
16-17
Sep-Nov 2001: 19.5%
16-17
Oct-Dec 2001: 19.1%
16-17
Nov-Jan 2002: 19.0%
16-17
Dec-Feb 2002: 18.6%
16-17
Jan-Mar 2002: 19.0%
16-17
Feb-Apr 2002: 19.1%
16-17
Mar-May 2002: 20.1%
16-17
Apr-Jun 2002: 20.0%
16-17
May-Jul 2002: 19.3%
16-17
Jun-Aug 2002: 19.6%
16-17
Jul-Sep 2002: 20.0%
16-17
Aug-Oct 2002: 20.3%
16-17
Sep-Nov 2002: 20.5%
16-17
Oct-Dec 2002: 21.2%
16-17
Nov-Jan 2003: 21.2%
16-17
Dec-Feb 2003: 21.1%
16-17
Jan-Mar 2003: 20.5%
16-17
Feb-Apr 2003: 21.0%
16-17
Mar-May 2003: 21.4%
16-17
Apr-Jun 2003: 21.3%
16-17
May-Jul 2003: 21.1%
16-17
Jun-Aug 2003: 21.0%
16-17
Jul-Sep 2003: 21.0%
16-17
Aug-Oct 2003: 21.3%
16-17
Sep-Nov 2003: 20.6%
16-17
Oct-Dec 2003: 21.0%
16-17
Nov-Jan 2004: 20.8%
16-17
Dec-Feb 2004: 21.3%
16-17
Jan-Mar 2004: 21.4%
16-17
Feb-Apr 2004: 22.0%
16-17
Mar-May 2004: 21.5%
16-17
Apr-Jun 2004: 21.5%
16-17
May-Jul 2004: 21.7%
16-17
Jun-Aug 2004: 21.5%
16-17
Jul-Sep 2004: 22.1%
16-17
Aug-Oct 2004: 21.1%
16-17
Sep-Nov 2004: 21.2%
16-17
Oct-Dec 2004: 20.9%
16-17
Nov-Jan 2005: 21.4%
16-17
Dec-Feb 2005: 21.5%
16-17
Jan-Mar 2005: 22.1%
16-17
Feb-Apr 2005: 22.0%
16-17
Mar-May 2005: 21.9%
16-17
Apr-Jun 2005: 22.0%
16-17
May-Jul 2005: 21.8%
16-17
Jun-Aug 2005: 22.3%
16-17
Jul-Sep 2005: 22.3%
16-17
Aug-Oct 2005: 23.9%
16-17
Sep-Nov 2005: 23.8%
16-17
Oct-Dec 2005: 25.1%
16-17
Nov-Jan 2006: 25.5%
16-17
Dec-Feb 2006: 25.4%
16-17
Jan-Mar 2006: 24.7%
16-17
Feb-Apr 2006: 24.6%
16-17
Mar-May 2006: 24.6%
16-17
Apr-Jun 2006: 24.1%
16-17
May-Jul 2006: 23.8%
16-17
Jun-Aug 2006: 23.5%
16-17
Jul-Sep 2006: 25.0%
16-17
Aug-Oct 2006: 25.1%
16-17
Sep-Nov 2006: 25.1%
16-17
Oct-Dec 2006: 24.9%
16-17
Nov-Jan 2007: 25.3%
16-17
Dec-Feb 2007: 26.2%
16-17
Jan-Mar 2007: 26.3%
16-17
Feb-Apr 2007: 26.2%
16-17
Mar-May 2007: 26.5%
16-17
Apr-Jun 2007: 27.5%
16-17
May-Jul 2007: 28.4%
16-17
Jun-Aug 2007: 28.3%
16-17
Jul-Sep 2007: 29.1%
16-17
Aug-Oct 2007: 27.6%
16-17
Sep-Nov 2007: 26.1%
16-17
Oct-Dec 2007: 25.0%
16-17
Nov-Jan 2008: 24.1%
16-17
Dec-Feb 2008: 24.2%
16-17
Jan-Mar 2008: 24.2%
16-17
Feb-Apr 2008: 25.3%
16-17
Mar-May 2008: 25.3%
16-17
Apr-Jun 2008: 26.1%
16-17
May-Jul 2008: 26.0%
16-17
Jun-Aug 2008: 26.9%
16-17
Jul-Sep 2008: 26.5%
16-17
Aug-Oct 2008: 27.2%
16-17
Sep-Nov 2008: 27.8%
16-17
Oct-Dec 2008: 28.2%
16-17
Nov-Jan 2009: 28.5%
16-17
Dec-Feb 2009: 27.6%
16-17
Jan-Mar 2009: 29.2%
16-17
Feb-Apr 2009: 29.7%
16-17
Mar-May 2009: 31.0%
16-17
Apr-Jun 2009: 32.3%
16-17
May-Jul 2009: 35.1%
16-17
Jun-Aug 2009: 34.5%
16-17
Jul-Sep 2009: 33.7%
16-17
Aug-Oct 2009: 32.6%
16-17
Sep-Nov 2009: 32.9%
16-17
Oct-Dec 2009: 33.0%
16-17
Nov-Jan 2010: 33.7%
16-17
Dec-Feb 2010: 34.1%
16-17
Jan-Mar 2010: 34.8%
16-17
Feb-Apr 2010: 36.5%
16-17
Mar-May 2010: 36.1%
16-17
Apr-Jun 2010: 33.7%
16-17
May-Jul 2010: 33.2%
16-17
Jun-Aug 2010: 32.7%
16-17
Jul-Sep 2010: 34.0%
16-17
Aug-Oct 2010: 36.2%
16-17
Sep-Nov 2010: 36.9%
16-17
Oct-Dec 2010: 37.5%
16-17
Nov-Jan 2011: 37.2%
16-17
Dec-Feb 2011: 37.4%
16-17
Jan-Mar 2011: 37.2%
16-17
Feb-Apr 2011: 36.5%
16-17
Mar-May 2011: 36.4%
16-17
Apr-Jun 2011: 37.0%
16-17
May-Jul 2011: 37.5%
16-17
Jun-Aug 2011: 38.7%
16-17
Jul-Sep 2011: 40.4%
16-17
Aug-Oct 2011: 39.5%
16-17
Sep-Nov 2011: 38.6%
16-17
Oct-Dec 2011: 37.7%
16-17
Nov-Jan 2012: 38.9%
16-17
Dec-Feb 2012: 38.2%
16-17
Jan-Mar 2012: 37.2%
16-17
Feb-Apr 2012: 36.7%
16-17
Mar-May 2012: 36.1%
16-17
Apr-Jun 2012: 36.2%
16-17
May-Jul 2012: 36.7%
16-17
Jun-Aug 2012: 36.2%
16-17
Jul-Sep 2012: 35.3%
16-17
Aug-Oct 2012: 37.0%
16-17
Sep-Nov 2012: 37.3%
16-17
Oct-Dec 2012: 37.9%
16-17
Nov-Jan 2013: 37.3%
16-17
Dec-Feb 2013: 38.4%
16-17
Jan-Mar 2013: 37.4%
16-17
Feb-Apr 2013: 35.9%
16-17
Mar-May 2013: 37.4%
16-17
Apr-Jun 2013: 37.5%
16-17
May-Jul 2013: 38.1%
16-17
Jun-Aug 2013: 36.6%
16-17
Jul-Sep 2013: 36.7%
16-17
Aug-Oct 2013: 36.3%
16-17
Sep-Nov 2013: 36.5%
16-17
Oct-Dec 2013: 36.9%
16-17
Nov-Jan 2014: 36.9%
16-17
Dec-Feb 2014: 36.4%
16-17
Jan-Mar 2014: 36.0%
16-17
Feb-Apr 2014: 34.7%
16-17
Mar-May 2014: 34.1%
16-17
Apr-Jun 2014: 33.5%
16-17
May-Jul 2014: 33.7%
16-17
Jun-Aug 2014: 33.6%
16-17
Jul-Sep 2014: 33.1%
16-17
Aug-Oct 2014: 32.8%
16-17
Sep-Nov 2014: 32.3%
16-17
Oct-Dec 2014: 31.6%
16-17
Nov-Jan 2015: 30.8%
16-17
Dec-Feb 2015: 30.9%
16-17
Jan-Mar 2015: 29.5%
16-17
Feb-Apr 2015: 29.9%
16-17
Mar-May 2015: 28.6%
16-17
Apr-Jun 2015: 28.6%
16-17
May-Jul 2015: 28.1%
16-17
Jun-Aug 2015: 28.1%
16-17
Jul-Sep 2015: 27.0%
16-17
Aug-Oct 2015: 24.9%
16-17
Sep-Nov 2015: 25.7%
16-17
Oct-Dec 2015: 26.8%
16-17
Nov-Jan 2016: 26.9%
16-17
Dec-Feb 2016: 26.0%
16-17
Jan-Mar 2016: 25.6%
16-17
Feb-Apr 2016: 27.2%
16-17
Mar-May 2016: 28.3%
16-17
Apr-Jun 2016: 28.8%
16-17
May-Jul 2016: 29.1%
16-17
Jun-Aug 2016: 28.7%
16-17
Jul-Sep 2016: 26.7%
16-17
Aug-Oct 2016: 27.4%
16-17
Sep-Nov 2016: 25.7%
16-17
Oct-Dec 2016: 24.6%
16-17
Nov-Jan 2017: 23.0%
16-17
Dec-Feb 2017: 25.1%
16-17
Jan-Mar 2017: 26.7%
16-17
Feb-Apr 2017: 26.5%
16-17
Mar-May 2017: 25.4%
16-17
Apr-Jun 2017: 24.7%
16-17
May-Jul 2017: 24.1%
16-17
Jun-Aug 2017: 23.5%
16-17
Jul-Sep 2017: 23.5%
16-17
Aug-Oct 2017: 24.1%
16-17
Sep-Nov 2017: 25.7%
16-17
Oct-Dec 2017: 26.6%
16-17
Nov-Jan 2018: 27.1%
16-17
Dec-Feb 2018: 27.0%
16-17
Jan-Mar 2018: 26.4%
16-17
Feb-Apr 2018: 24.7%
16-17
Mar-May 2018: 23.4%
16-17
Apr-Jun 2018: 22.3%
16-17
May-Jul 2018: 22.4%
16-17
Jun-Aug 2018: 21.9%
16-17
Jul-Sep 2018: 21.3%
16-17
Aug-Oct 2018: 22.8%
16-17
Sep-Nov 2018: 24.8%
16-17
Oct-Dec 2018: 24.3%
16-17
Nov-Jan 2019: 22.2%
16-17
Dec-Feb 2019: 21.0%
16-17
Jan-Mar 2019: 19.2%
16-17
Feb-Apr 2019: 20.3%
16-17
Mar-May 2019: 19.6%
16-17
Apr-Jun 2019: 19.4%
16-17
May-Jul 2019: 19.3%
16-17
Jun-Aug 2019: 20.3%
16-17
Jul-Sep 2019: 21.0%
16-17
Aug-Oct 2019: 20.0%
16-17
Sep-Nov 2019: 21.4%
16-17
Oct-Dec 2019: 22.5%
16-17
Nov-Jan 2020: 22.1%
16-17
Dec-Feb 2020: 23.8%
16-17
Jan-Mar 2020: 24.5%
16-17
Feb-Apr 2020: 26.0%
16-17
Mar-May 2020: 24.5%
16-17
Apr-Jun 2020: 25.6%
16-17
May-Jul 2020: 24.1%
16-17
Jun-Aug 2020: 24.6%
16-17
Jul-Sep 2020: 26.3%
16-17
Aug-Oct 2020: 28.9%
16-17
Sep-Nov 2020: 26.4%
16-17
Oct-Dec 2020: 26.7%
16-17
Nov-Jan 2021: 29.0%
16-17
Dec-Feb 2021: 32.0%
16-17
Jan-Mar 2021: 29.9%
16-17
Feb-Apr 2021: 32.3%
16-17
Mar-May 2021: 34.1%
16-17
Apr-Jun 2021: 33.4%
16-17
May-Jul 2021: 30.2%
16-17
Jun-Aug 2021: 24.8%
16-17
Jul-Sep 2021: 22.5%
16-17
Aug-Oct 2021: 22.2%
16-17
Sep-Nov 2021: 22.1%
16-17
Oct-Dec 2021: 20.6%
16-17
Nov-Jan 2022: 22.3%
16-17
Dec-Feb 2022: 21.9%
16-17
Jan-Mar 2022: 22.6%
16-17
Feb-Apr 2022: 22.4%
16-17
Mar-May 2022: 21.3%
18-24
Nov-Jan 2000: 11.0%
18-24
Dec-Feb 2000: 10.8%
18-24
Jan-Mar 2000: 11.1%
18-24
Feb-Apr 2000: 10.8%
18-24
Mar-May 2000: 11.0%
18-24
Apr-Jun 2000: 10.6%
18-24
May-Jul 2000: 10.4%
18-24
Jun-Aug 2000: 10.2%
18-24
Jul-Sep 2000: 10.2%
18-24
Aug-Oct 2000: 10.6%
18-24
Sep-Nov 2000: 10.5%
18-24
Oct-Dec 2000: 10.7%
18-24
Nov-Jan 2001: 10.4%
18-24
Dec-Feb 2001: 10.6%
18-24
Jan-Mar 2001: 10.5%
18-24
Feb-Apr 2001: 10.5%
18-24
Mar-May 2001: 10.2%
18-24
Apr-Jun 2001: 10.1%
18-24
May-Jul 2001: 9.9%
18-24
Jun-Aug 2001: 10.2%
18-24
Jul-Sep 2001: 10.2%
18-24
Aug-Oct 2001: 10.4%
18-24
Sep-Nov 2001: 10.6%
18-24
Oct-Dec 2001: 10.9%
18-24
Nov-Jan 2002: 10.8%
18-24
Dec-Feb 2002: 10.6%
18-24
Jan-Mar 2002: 10.8%
18-24
Feb-Apr 2002: 10.5%
18-24
Mar-May 2002: 10.4%
18-24
Apr-Jun 2002: 10.2%
18-24
May-Jul 2002: 10.5%
18-24
Jun-Aug 2002: 10.7%
18-24
Jul-Sep 2002: 10.5%
18-24
Aug-Oct 2002: 10.2%
18-24
Sep-Nov 2002: 10.5%
18-24
Oct-Dec 2002: 10.3%
18-24
Nov-Jan 2003: 10.1%
18-24
Dec-Feb 2003: 10.6%
18-24
Jan-Mar 2003: 11.1%
18-24
Feb-Apr 2003: 10.9%
18-24
Mar-May 2003: 10.6%
18-24
Apr-Jun 2003: 10.5%
18-24
May-Jul 2003: 10.9%
18-24
Jun-Aug 2003: 10.9%
18-24
Jul-Sep 2003: 10.7%
18-24
Aug-Oct 2003: 10.2%
18-24
Sep-Nov 2003: 9.9%
18-24
Oct-Dec 2003: 9.9%
18-24
Nov-Jan 2004: 10.0%
18-24
Dec-Feb 2004: 10.1%
18-24
Jan-Mar 2004: 10.2%
18-24
Feb-Apr 2004: 10.2%
18-24
Mar-May 2004: 9.9%
18-24
Apr-Jun 2004: 10.2%
18-24
May-Jul 2004: 10.2%
18-24
Jun-Aug 2004: 10.3%
18-24
Jul-Sep 2004: 10.4%
18-24
Aug-Oct 2004: 10.3%
18-24
Sep-Nov 2004: 10.5%
18-24
Oct-Dec 2004: 10.8%
18-24
Nov-Jan 2005: 10.7%
18-24
Dec-Feb 2005: 10.9%
18-24
Jan-Mar 2005: 10.3%
18-24
Feb-Apr 2005: 10.5%
18-24
Mar-May 2005: 10.8%
18-24
Apr-Jun 2005: 10.9%
18-24
May-Jul 2005: 10.7%
18-24
Jun-Aug 2005: 10.7%
18-24
Jul-Sep 2005: 10.9%
18-24
Aug-Oct 2005: 11.7%
18-24
Sep-Nov 2005: 11.7%
18-24
Oct-Dec 2005: 11.9%
18-24
Nov-Jan 2006: 11.5%
18-24
Dec-Feb 2006: 11.5%
18-24
Jan-Mar 2006: 11.7%
18-24
Feb-Apr 2006: 11.9%
18-24
Mar-May 2006: 12.3%
18-24
Apr-Jun 2006: 12.5%
18-24
May-Jul 2006: 12.8%
18-24
Jun-Aug 2006: 12.5%
18-24
Jul-Sep 2006: 12.4%
18-24
Aug-Oct 2006: 12.2%
18-24
Sep-Nov 2006: 11.8%
18-24
Oct-Dec 2006: 12.2%
18-24
Nov-Jan 2007: 12.3%
18-24
Dec-Feb 2007: 12.5%
18-24
Jan-Mar 2007: 12.5%
18-24
Feb-Apr 2007: 12.6%
18-24
Mar-May 2007: 12.7%
18-24
Apr-Jun 2007: 12.5%
18-24
May-Jul 2007: 12.1%
18-24
Jun-Aug 2007: 12.2%
18-24
Jul-Sep 2007: 11.9%
18-24
Aug-Oct 2007: 11.8%
18-24
Sep-Nov 2007: 11.9%
18-24
Oct-Dec 2007: 11.9%
18-24
Nov-Jan 2008: 12.0%
18-24
Dec-Feb 2008: 12.0%
18-24
Jan-Mar 2008: 12.2%
18-24
Feb-Apr 2008: 12.4%
18-24
Mar-May 2008: 12.0%
18-24
Apr-Jun 2008: 12.6%
18-24
May-Jul 2008: 12.8%
18-24
Jun-Aug 2008: 13.3%
18-24
Jul-Sep 2008: 13.7%
18-24
Aug-Oct 2008: 14.0%
18-24
Sep-Nov 2008: 14.4%
18-24
Oct-Dec 2008: 14.6%
18-24
Nov-Jan 2009: 14.8%
18-24
Dec-Feb 2009: 15.2%
18-24
Jan-Mar 2009: 16.3%
18-24
Feb-Apr 2009: 16.9%
18-24
Mar-May 2009: 17.6%
18-24
Apr-Jun 2009: 17.4%
18-24
May-Jul 2009: 17.5%
18-24
Jun-Aug 2009: 17.6%
18-24
Jul-Sep 2009: 18.0%
18-24
Aug-Oct 2009: 18.3%
18-24
Sep-Nov 2009: 17.6%
18-24
Oct-Dec 2009: 17.5%
18-24
Nov-Jan 2010: 17.5%
18-24
Dec-Feb 2010: 17.8%
18-24
Jan-Mar 2010: 18.1%
18-24
Feb-Apr 2010: 17.8%
18-24
Mar-May 2010: 17.7%
18-24
Apr-Jun 2010: 17.9%
18-24
May-Jul 2010: 17.7%
18-24
Jun-Aug 2010: 18.0%
18-24
Jul-Sep 2010: 17.3%
18-24
Aug-Oct 2010: 17.9%
18-24
Sep-Nov 2010: 18.2%
18-24
Oct-Dec 2010: 18.2%
18-24
Nov-Jan 2011: 18.3%
18-24
Dec-Feb 2011: 18.0%
18-24
Jan-Mar 2011: 17.9%
18-24
Feb-Apr 2011: 17.3%
18-24
Mar-May 2011: 17.8%
18-24
Apr-Jun 2011: 18.4%
18-24
May-Jul 2011: 19.0%
18-24
Jun-Aug 2011: 19.6%
18-24
Jul-Sep 2011: 19.8%
18-24
Aug-Oct 2011: 20.1%
18-24
Sep-Nov 2011: 20.3%
18-24
Oct-Dec 2011: 20.2%
18-24
Nov-Jan 2012: 20.0%
18-24
Dec-Feb 2012: 19.8%
18-24
Jan-Mar 2012: 19.9%
18-24
Feb-Apr 2012: 19.8%
18-24
Mar-May 2012: 20.0%
18-24
Apr-Jun 2012: 19.5%
18-24
May-Jul 2012: 19.6%
18-24
Jun-Aug 2012: 18.8%
18-24
Jul-Sep 2012: 19.0%
18-24
Aug-Oct 2012: 18.3%
18-24
Sep-Nov 2012: 18.6%
18-24
Oct-Dec 2012: 18.9%
18-24
Nov-Jan 2013: 19.4%
18-24
Dec-Feb 2013: 19.1%
18-24
Jan-Mar 2013: 18.7%
18-24
Feb-Apr 2013: 18.6%
18-24
Mar-May 2013: 18.8%
18-24
Apr-Jun 2013: 19.3%
18-24
May-Jul 2013: 19.1%
18-24
Jun-Aug 2013: 19.3%
18-24
Jul-Sep 2013: 19.2%
18-24
Aug-Oct 2013: 18.6%
18-24
Sep-Nov 2013: 18.0%
18-24
Oct-Dec 2013: 18.0%
18-24
Nov-Jan 2014: 17.7%
18-24
Dec-Feb 2014: 17.1%
18-24
Jan-Mar 2014: 16.8%
18-24
Feb-Apr 2014: 16.2%
18-24
Mar-May 2014: 15.7%
18-24
Apr-Jun 2014: 14.7%
18-24
May-Jul 2014: 14.5%
18-24
Jun-Aug 2014: 14.0%
18-24
Jul-Sep 2014: 14.4%
18-24
Aug-Oct 2014: 14.7%
18-24
Sep-Nov 2014: 15.2%
18-24
Oct-Dec 2014: 14.5%
18-24
Nov-Jan 2015: 14.5%
18-24
Dec-Feb 2015: 14.3%
18-24
Jan-Mar 2015: 14.2%
18-24
Feb-Apr 2015: 14.2%
18-24
Mar-May 2015: 14.1%
18-24
Apr-Jun 2015: 14.1%
18-24
May-Jul 2015: 13.9%
18-24
Jun-Aug 2015: 13.1%
18-24
Jul-Sep 2015: 12.6%
18-24
Aug-Oct 2015: 12.2%
18-24
Sep-Nov 2015: 12.3%
18-24
Oct-Dec 2015: 12.0%
18-24
Nov-Jan 2016: 12.2%
18-24
Dec-Feb 2016: 12.3%
18-24
Jan-Mar 2016: 12.2%
18-24
Feb-Apr 2016: 11.9%
18-24
Mar-May 2016: 11.6%
18-24
Apr-Jun 2016: 11.7%
18-24
May-Jul 2016: 11.9%
18-24
Jun-Aug 2016: 12.0%
18-24
Jul-Sep 2016: 11.7%
18-24
Aug-Oct 2016: 11.4%
18-24
Sep-Nov 2016: 11.1%
18-24
Oct-Dec 2016: 11.0%
18-24
Nov-Jan 2017: 11.0%
18-24
Dec-Feb 2017: 10.9%
18-24
Jan-Mar 2017: 10.6%
18-24
Feb-Apr 2017: 10.7%
18-24
Mar-May 2017: 11.0%
18-24
Apr-Jun 2017: 10.9%
18-24
May-Jul 2017: 10.7%
18-24
Jun-Aug 2017: 10.9%
18-24
Jul-Sep 2017: 10.7%
18-24
Aug-Oct 2017: 10.6%
18-24
Sep-Nov 2017: 10.6%
18-24
Oct-Dec 2017: 10.8%
18-24
Nov-Jan 2018: 10.5%
18-24
Dec-Feb 2018: 10.2%
18-24
Jan-Mar 2018: 10.3%
18-24
Feb-Apr 2018: 10.3%
18-24
Mar-May 2018: 10.6%
18-24
Apr-Jun 2018: 10.0%
18-24
May-Jul 2018: 10.0%
18-24
Jun-Aug 2018: 9.6%
18-24
Jul-Sep 2018: 10.1%
18-24
Aug-Oct 2018: 10.2%
18-24
Sep-Nov 2018: 10.3%
18-24
Oct-Dec 2018: 10.4%
18-24
Nov-Jan 2019: 10.4%
18-24
Dec-Feb 2019: 10.3%
18-24
Jan-Mar 2019: 9.9%
18-24
Feb-Apr 2019: 10.2%
18-24
Mar-May 2019: 10.7%
18-24
Apr-Jun 2019: 10.8%
18-24
May-Jul 2019: 10.5%
18-24
Jun-Aug 2019: 10.8%
18-24
Jul-Sep 2019: 10.8%
18-24
Aug-Oct 2019: 10.2%
18-24
Sep-Nov 2019: 10.2%
18-24
Oct-Dec 2019: 10.0%
18-24
Nov-Jan 2020: 10.5%
18-24
Dec-Feb 2020: 10.5%
18-24
Jan-Mar 2020: 10.9%
18-24
Feb-Apr 2020: 11.2%
18-24
Mar-May 2020: 11.7%
18-24
Apr-Jun 2020: 11.7%
18-24
May-Jul 2020: 12.6%
18-24
Jun-Aug 2020: 13.2%
18-24
Jul-Sep 2020: 13.9%
18-24
Aug-Oct 2020: 13.6%
18-24
Sep-Nov 2020: 13.6%
18-24
Oct-Dec 2020: 13.7%
18-24
Nov-Jan 2021: 13.4%
18-24
Dec-Feb 2021: 13.1%
18-24
Jan-Mar 2021: 12.4%
18-24
Feb-Apr 2021: 12.0%
18-24
Mar-May 2021: 11.6%
18-24
Apr-Jun 2021: 10.9%
18-24
May-Jul 2021: 11.0%
18-24
Jun-Aug 2021: 10.6%
18-24
Jul-Sep 2021: 10.4%
18-24
Aug-Oct 2021: 9.9%
18-24
Sep-Nov 2021: 9.7%
18-24
Oct-Dec 2021: 9.9%
18-24
Nov-Jan 2022: 9.8%
18-24
Dec-Feb 2022: 9.9%
18-24
Jan-Mar 2022: 9.1%
18-24
Feb-Apr 2022: 9.4%
18-24
Mar-May 2022: 9.1%
25-49
Nov-Jan 2000: 4.8%
25-49
Dec-Feb 2000: 4.7%
25-49
Jan-Mar 2000: 4.6%
25-49
Feb-Apr 2000: 4.5%
25-49
Mar-May 2000: 4.4%
25-49
Apr-Jun 2000: 4.4%
25-49
May-Jul 2000: 4.3%
25-49
Jun-Aug 2000: 4.2%
25-49
Jul-Sep 2000: 4.2%
25-49
Aug-Oct 2000: 4.2%
25-49
Sep-Nov 2000: 4.1%
25-49
Oct-Dec 2000: 4.0%
25-49
Nov-Jan 2001: 4.0%
25-49
Dec-Feb 2001: 4.1%
25-49
Jan-Mar 2001: 4.1%
25-49
Feb-Apr 2001: 4.0%
25-49
Mar-May 2001: 4.0%
25-49
Apr-Jun 2001: 4.1%
25-49
May-Jul 2001: 4.1%
25-49
Jun-Aug 2001: 4.1%
25-49
Jul-Sep 2001: 4.1%
25-49
Aug-Oct 2001: 4.0%
25-49
Sep-Nov 2001: 4.1%
25-49
Oct-Dec 2001: 4.2%
25-49
Nov-Jan 2002: 4.2%
25-49
Dec-Feb 2002: 4.2%
25-49
Jan-Mar 2002: 4.1%
25-49
Feb-Apr 2002: 4.2%
25-49
Mar-May 2002: 4.2%
25-49
Apr-Jun 2002: 4.1%
25-49
May-Jul 2002: 4.1%
25-49
Jun-Aug 2002: 4.1%
25-49
Jul-Sep 2002: 4.3%
25-49
Aug-Oct 2002: 4.2%
25-49
Sep-Nov 2002: 4.1%
25-49
Oct-Dec 2002: 4.0%
25-49
Nov-Jan 2003: 3.8%
25-49
Dec-Feb 2003: 3.9%
25-49
Jan-Mar 2003: 3.9%
25-49
Feb-Apr 2003: 3.9%
25-49
Mar-May 2003: 3.8%
25-49
Apr-Jun 2003: 3.7%
25-49
May-Jul 2003: 3.9%
25-49
Jun-Aug 2003: 3.9%
25-49
Jul-Sep 2003: 4.0%
25-49
Aug-Oct 2003: 3.9%
25-49
Sep-Nov 2003: 3.9%
25-49
Oct-Dec 2003: 3.9%
25-49
Nov-Jan 2004: 3.8%
25-49
Dec-Feb 2004: 3.7%
25-49
Jan-Mar 2004: 3.7%
25-49
Feb-Apr 2004: 3.6%
25-49
Mar-May 2004: 3.7%
25-49
Apr-Jun 2004: 3.7%
25-49
May-Jul 2004: 3.6%
25-49
Jun-Aug 2004: 3.5%
25-49
Jul-Sep 2004: 3.5%
25-49
Aug-Oct 2004: 3.5%
25-49
Sep-Nov 2004: 3.5%
25-49
Oct-Dec 2004: 3.5%
25-49
Nov-Jan 2005: 3.5%
25-49
Dec-Feb 2005: 3.5%
25-49
Jan-Mar 2005: 3.5%
25-49
Feb-Apr 2005: 3.5%
25-49
Mar-May 2005: 3.5%
25-49
Apr-Jun 2005: 3.5%
25-49
May-Jul 2005: 3.5%
25-49
Jun-Aug 2005: 3.4%
25-49
Jul-Sep 2005: 3.4%
25-49
Aug-Oct 2005: 3.5%
25-49
Sep-Nov 2005: 3.7%
25-49
Oct-Dec 2005: 3.8%
25-49
Nov-Jan 2006: 3.8%
25-49
Dec-Feb 2006: 4.0%
25-49
Jan-Mar 2006: 4.0%
25-49
Feb-Apr 2006: 4.1%
25-49
Mar-May 2006: 4.1%
25-49
Apr-Jun 2006: 4.2%
25-49
May-Jul 2006: 4.2%
25-49
Jun-Aug 2006: 4.2%
25-49
Jul-Sep 2006: 4.1%
25-49
Aug-Oct 2006: 4.2%
25-49
Sep-Nov 2006: 4.3%
25-49
Oct-Dec 2006: 4.3%
25-49
Nov-Jan 2007: 4.3%
25-49
Dec-Feb 2007: 4.2%
25-49
Jan-Mar 2007: 4.2%
25-49
Feb-Apr 2007: 4.0%
25-49
Mar-May 2007: 3.9%
25-49
Apr-Jun 2007: 3.8%
25-49
May-Jul 2007: 3.8%
25-49
Jun-Aug 2007: 3.8%
25-49
Jul-Sep 2007: 3.9%
25-49
Aug-Oct 2007: 3.9%
25-49
Sep-Nov 2007: 3.9%
25-49
Oct-Dec 2007: 3.8%
25-49
Nov-Jan 2008: 3.9%
25-49
Dec-Feb 2008: 3.9%
25-49
Jan-Mar 2008: 3.9%
25-49
Feb-Apr 2008: 4.0%
25-49
Mar-May 2008: 3.9%
25-49
Apr-Jun 2008: 4.0%
25-49
May-Jul 2008: 4.1%
25-49
Jun-Aug 2008: 4.3%
25-49
Jul-Sep 2008: 4.4%
25-49
Aug-Oct 2008: 4.5%
25-49
Sep-Nov 2008: 4.7%
25-49
Oct-Dec 2008: 4.9%
25-49
Nov-Jan 2009: 5.0%
25-49
Dec-Feb 2009: 5.3%
25-49
Jan-Mar 2009: 5.5%
25-49
Feb-Apr 2009: 5.7%
25-49
Mar-May 2009: 6.0%
25-49
Apr-Jun 2009: 6.3%
25-49
May-Jul 2009: 6.3%
25-49
Jun-Aug 2009: 6.4%
25-49
Jul-Sep 2009: 6.3%
25-49
Aug-Oct 2009: 6.3%
25-49
Sep-Nov 2009: 6.3%
25-49
Oct-Dec 2009: 6.2%
25-49
Nov-Jan 2010: 6.2%
25-49
Dec-Feb 2010: 6.5%
25-49
Jan-Mar 2010: 6.5%
25-49
Feb-Apr 2010: 6.5%
25-49
Mar-May 2010: 6.4%
25-49
Apr-Jun 2010: 6.3%
25-49
May-Jul 2010: 6.3%
25-49
Jun-Aug 2010: 6.2%
25-49
Jul-Sep 2010: 6.3%
25-49
Aug-Oct 2010: 6.3%
25-49
Sep-Nov 2010: 6.3%
25-49
Oct-Dec 2010: 6.2%
25-49
Nov-Jan 2011: 6.3%
25-49
Dec-Feb 2011: 6.2%
25-49
Jan-Mar 2011: 6.2%
25-49
Feb-Apr 2011: 6.2%
25-49
Mar-May 2011: 6.3%
25-49
Apr-Jun 2011: 6.4%
25-49
May-Jul 2011: 6.3%
25-49
Jun-Aug 2011: 6.5%
25-49
Jul-Sep 2011: 6.5%
25-49
Aug-Oct 2011: 6.5%
25-49
Sep-Nov 2011: 6.6%
25-49
Oct-Dec 2011: 6.5%
25-49
Nov-Jan 2012: 6.5%
25-49
Dec-Feb 2012: 6.4%
25-49
Jan-Mar 2012: 6.3%
25-49
Feb-Apr 2012: 6.3%
25-49
Mar-May 2012: 6.2%
25-49
Apr-Jun 2012: 6.2%
25-49
May-Jul 2012: 6.2%
25-49
Jun-Aug 2012: 6.2%
25-49
Jul-Sep 2012: 6.2%
25-49
Aug-Oct 2012: 6.3%
25-49
Sep-Nov 2012: 6.1%
25-49
Oct-Dec 2012: 6.1%
25-49
Nov-Jan 2013: 6.1%
25-49
Dec-Feb 2013: 6.4%
25-49
Jan-Mar 2013: 6.2%
25-49
Feb-Apr 2013: 6.1%
25-49
Mar-May 2013: 6.0%
25-49
Apr-Jun 2013: 5.9%
25-49
May-Jul 2013: 5.9%
25-49
Jun-Aug 2013: 5.9%
25-49
Jul-Sep 2013: 5.8%
25-49
Aug-Oct 2013: 5.6%
25-49
Sep-Nov 2013: 5.4%
25-49
Oct-Dec 2013: 5.5%
25-49
Nov-Jan 2014: 5.5%
25-49
Dec-Feb 2014: 5.2%
25-49
Jan-Mar 2014: 5.1%
25-49
Feb-Apr 2014: 5.0%
25-49
Mar-May 2014: 4.9%
25-49
Apr-Jun 2014: 4.9%
25-49
May-Jul 2014: 4.8%
25-49
Jun-Aug 2014: 4.8%
25-49
Jul-Sep 2014: 4.7%
25-49
Aug-Oct 2014: 4.6%
25-49
Sep-Nov 2014: 4.4%
25-49
Oct-Dec 2014: 4.3%
25-49
Nov-Jan 2015: 4.3%
25-49
Dec-Feb 2015: 4.2%
25-49
Jan-Mar 2015: 4.2%
25-49
Feb-Apr 2015: 4.2%
25-49
Mar-May 2015: 4.4%
25-49
Apr-Jun 2015: 4.3%
25-49
May-Jul 2015: 4.2%
25-49
Jun-Aug 2015: 4.1%
25-49
Jul-Sep 2015: 4.2%
25-49
Aug-Oct 2015: 4.1%
25-49
Sep-Nov 2015: 3.9%
25-49
Oct-Dec 2015: 4.0%
25-49
Nov-Jan 2016: 3.9%
25-49
Dec-Feb 2016: 3.9%
25-49
Jan-Mar 2016: 3.8%
25-49
Feb-Apr 2016: 3.8%
25-49
Mar-May 2016: 3.8%
25-49
Apr-Jun 2016: 3.8%
25-49
May-Jul 2016: 3.7%
25-49
Jun-Aug 2016: 3.8%
25-49
Jul-Sep 2016: 3.8%
25-49
Aug-Oct 2016: 3.8%
25-49
Sep-Nov 2016: 3.9%
25-49
Oct-Dec 2016: 3.8%
25-49
Nov-Jan 2017: 3.8%
25-49
Dec-Feb 2017: 3.7%
25-49
Jan-Mar 2017: 3.6%
25-49
Feb-Apr 2017: 3.5%
25-49
Mar-May 2017: 3.4%
25-49
Apr-Jun 2017: 3.4%
25-49
May-Jul 2017: 3.2%
25-49
Jun-Aug 2017: 3.3%
25-49
Jul-Sep 2017: 3.2%
25-49
Aug-Oct 2017: 3.2%
25-49
Sep-Nov 2017: 3.2%
25-49
Oct-Dec 2017: 3.3%
25-49
Nov-Jan 2018: 3.2%
25-49
Dec-Feb 2018: 3.2%
25-49
Jan-Mar 2018: 3.1%
25-49
Feb-Apr 2018: 3.1%
25-49
Mar-May 2018: 3.1%
25-49
Apr-Jun 2018: 3.1%
25-49
May-Jul 2018: 3.1%
25-49
Jun-Aug 2018: 3.1%
25-49
Jul-Sep 2018: 3.2%
25-49
Aug-Oct 2018: 3.1%
25-49
Sep-Nov 2018: 3.0%
25-49
Oct-Dec 2018: 3.0%
25-49
Nov-Jan 2019: 2.9%
25-49
Dec-Feb 2019: 3.0%
25-49
Jan-Mar 2019: 2.9%
25-49
Feb-Apr 2019: 2.9%
25-49
Mar-May 2019: 2.8%
25-49
Apr-Jun 2019: 2.9%
25-49
May-Jul 2019: 2.8%
25-49
Jun-Aug 2019: 2.9%
25-49
Jul-Sep 2019: 2.8%
25-49
Aug-Oct 2019: 2.7%
25-49
Sep-Nov 2019: 2.8%
25-49
Oct-Dec 2019: 2.7%
25-49
Nov-Jan 2020: 2.8%
25-49
Dec-Feb 2020: 2.8%
25-49
Jan-Mar 2020: 2.8%
25-49
Feb-Apr 2020: 2.9%
25-49
Mar-May 2020: 3.0%
25-49
Apr-Jun 2020: 3.0%
25-49
May-Jul 2020: 3.2%
25-49
Jun-Aug 2020: 3.3%
25-49
Jul-Sep 2020: 3.6%
25-49
Aug-Oct 2020: 3.7%
25-49
Sep-Nov 2020: 3.9%
25-49
Oct-Dec 2020: 3.9%
25-49
Nov-Jan 2021: 3.9%
25-49
Dec-Feb 2021: 3.7%
25-49
Jan-Mar 2021: 3.7%
25-49
Feb-Apr 2021: 3.8%
25-49
Mar-May 2021: 3.7%
25-49
Apr-Jun 2021: 3.7%
25-49
May-Jul 2021: 3.5%
25-49
Jun-Aug 2021: 3.5%
25-49
Jul-Sep 2021: 3.2%
25-49
Aug-Oct 2021: 3.2%
25-49
Sep-Nov 2021: 3.1%
25-49
Oct-Dec 2021: 3.1%
25-49
Nov-Jan 2022: 3.1%
25-49
Dec-Feb 2022: 2.9%
25-49
Jan-Mar 2022: 2.9%
25-49
Feb-Apr 2022: 2.9%
25-49
Mar-May 2022: 3.0%
50 and over
Nov-Jan 2000: 4.2%
50 and over
Dec-Feb 2000: 4.1%
50 and over
Jan-Mar 2000: 4.2%
50 and over
Feb-Apr 2000: 4.0%
50 and over
Mar-May 2000: 4.0%
50 and over
Apr-Jun 2000: 4.0%
50 and over
May-Jul 2000: 3.8%
50 and over
Jun-Aug 2000: 3.7%
50 and over
Jul-Sep 2000: 3.7%
50 and over
Aug-Oct 2000: 3.7%
50 and over
Sep-Nov 2000: 3.7%
50 and over
Oct-Dec 2000: 3.7%
50 and over
Nov-Jan 2001: 3.6%
50 and over
Dec-Feb 2001: 3.5%
50 and over
Jan-Mar 2001: 3.3%
50 and over
Feb-Apr 2001: 3.2%
50 and over
Mar-May 2001: 2.9%
50 and over
Apr-Jun 2001: 3.1%
50 and over
May-Jul 2001: 3.1%
50 and over
Jun-Aug 2001: 3.2%
50 and over
Jul-Sep 2001: 3.3%
50 and over
Aug-Oct 2001: 3.2%
50 and over
Sep-Nov 2001: 3.0%
50 and over
Oct-Dec 2001: 3.1%
50 and over
Nov-Jan 2002: 3.1%
50 and over
Dec-Feb 2002: 3.1%
50 and over
Jan-Mar 2002: 3.1%
50 and over
Feb-Apr 2002: 3.2%
50 and over
Mar-May 2002: 3.4%
50 and over
Apr-Jun 2002: 3.4%
50 and over
May-Jul 2002: 3.5%
50 and over
Jun-Aug 2002: 3.4%
50 and over
Jul-Sep 2002: 3.5%
50 and over
Aug-Oct 2002: 3.4%
50 and over
Sep-Nov 2002: 3.3%
50 and over
Oct-Dec 2002: 3.3%
50 and over
Nov-Jan 2003: 3.3%
50 and over
Dec-Feb 2003: 3.3%
50 and over
Jan-Mar 2003: 3.3%
50 and over
Feb-Apr 2003: 3.2%
50 and over
Mar-May 2003: 3.1%
50 and over
Apr-Jun 2003: 3.1%
50 and over
May-Jul 2003: 3.1%
50 and over
Jun-Aug 2003: 3.0%
50 and over
Jul-Sep 2003: 3.0%
50 and over
Aug-Oct 2003: 3.0%
50 and over
Sep-Nov 2003: 3.1%
50 and over
Oct-Dec 2003: 3.0%
50 and over
Nov-Jan 2004: 2.9%
50 and over
Dec-Feb 2004: 2.9%
50 and over
Jan-Mar 2004: 2.9%
50 and over
Feb-Apr 2004: 2.9%
50 and over
Mar-May 2004: 2.9%
50 and over
Apr-Jun 2004: 2.8%
50 and over
May-Jul 2004: 2.8%
50 and over
Jun-Aug 2004: 2.7%
50 and over
Jul-Sep 2004: 2.7%
50 and over
Aug-Oct 2004: 2.7%
50 and over
Sep-Nov 2004: 2.7%
50 and over
Oct-Dec 2004: 2.8%
50 and over
Nov-Jan 2005: 2.8%
50 and over
Dec-Feb 2005: 2.8%
50 and over
Jan-Mar 2005: 2.8%
50 and over
Feb-Apr 2005: 2.7%
50 and over
Mar-May 2005: 2.6%
50 and over
Apr-Jun 2005: 2.7%
50 and over
May-Jul 2005: 2.8%
50 and over
Jun-Aug 2005: 2.8%
50 and over
Jul-Sep 2005: 2.8%
50 and over
Aug-Oct 2005: 2.9%
50 and over
Sep-Nov 2005: 3.0%
50 and over
Oct-Dec 2005: 2.9%
50 and over
Nov-Jan 2006: 2.9%
50 and over
Dec-Feb 2006: 2.8%
50 and over
Jan-Mar 2006: 2.9%
50 and over
Feb-Apr 2006: 3.0%
50 and over
Mar-May 2006: 3.0%
50 and over
Apr-Jun 2006: 3.0%
50 and over
May-Jul 2006: 3.0%
50 and over
Jun-Aug 2006: 3.1%
50 and over
Jul-Sep 2006: 3.2%
50 and over
Aug-Oct 2006: 3.1%
50 and over
Sep-Nov 2006: 3.0%
50 and over
Oct-Dec 2006: 3.0%
50 and over
Nov-Jan 2007: 3.0%
50 and over
Dec-Feb 2007: 3.1%
50 and over
Jan-Mar 2007: 3.1%
50 and over
Feb-Apr 2007: 3.2%
50 and over
Mar-May 2007: 3.1%
50 and over
Apr-Jun 2007: 3.1%
50 and over
May-Jul 2007: 3.1%
50 and over
Jun-Aug 2007: 3.0%
50 and over
Jul-Sep 2007: 3.1%
50 and over
Aug-Oct 2007: 3.0%
50 and over
Sep-Nov 2007: 3.0%
50 and over
Oct-Dec 2007: 2.9%
50 and over
Nov-Jan 2008: 2.8%
50 and over
Dec-Feb 2008: 2.9%
50 and over
Jan-Mar 2008: 2.8%
50 and over
Feb-Apr 2008: 2.9%
50 and over
Mar-May 2008: 2.8%
50 and over
Apr-Jun 2008: 2.9%
50 and over
May-Jul 2008: 3.0%
50 and over
Jun-Aug 2008: 3.2%
50 and over
Jul-Sep 2008: 3.3%
50 and over
Aug-Oct 2008: 3.4%
50 and over
Sep-Nov 2008: 3.6%
50 and over
Oct-Dec 2008: 3.8%
50 and over
Nov-Jan 2009: 3.8%
50 and over
Dec-Feb 2009: 4.0%
50 and over
Jan-Mar 2009: 4.2%
50 and over
Feb-Apr 2009: 4.3%
50 and over
Mar-May 2009: 4.3%
50 and over
Apr-Jun 2009: 4.5%
50 and over
May-Jul 2009: 4.5%
50 and over
Jun-Aug 2009: 4.5%
50 and over
Jul-Sep 2009: 4.5%
50 and over
Aug-Oct 2009: 4.6%
50 and over
Sep-Nov 2009: 4.7%
50 and over
Oct-Dec 2009: 4.7%
50 and over
Nov-Jan 2010: 4.7%
50 and over
Dec-Feb 2010: 4.6%
50 and over
Jan-Mar 2010: 4.6%
50 and over
Feb-Apr 2010: 4.4%
50 and over
Mar-May 2010: 4.6%
50 and over
Apr-Jun 2010: 4.6%
50 and over
May-Jul 2010: 4.6%
50 and over
Jun-Aug 2010: 4.6%
50 and over
Jul-Sep 2010: 4.6%
50 and over
Aug-Oct 2010: 4.6%
50 and over
Sep-Nov 2010: 4.5%
50 and over
Oct-Dec 2010: 4.5%
50 and over
Nov-Jan 2011: 4.5%
50 and over
Dec-Feb 2011: 4.5%
50 and over
Jan-Mar 2011: 4.6%
50 and over
Feb-Apr 2011: 4.6%
50 and over
Mar-May 2011: 4.5%
50 and over
Apr-Jun 2011: 4.5%
50 and over
May-Jul 2011: 4.5%
50 and over
Jun-Aug 2011: 4.5%
50 and over
Jul-Sep 2011: 4.7%
50 and over
Aug-Oct 2011: 4.8%
50 and over
Sep-Nov 2011: 5.0%
50 and over
Oct-Dec 2011: 4.9%
50 and over
Nov-Jan 2012: 4.9%
50 and over
Dec-Feb 2012: 5.0%
50 and over
Jan-Mar 2012: 4.9%
50 and over
Feb-Apr 2012: 4.9%
50 and over
Mar-May 2012: 4.6%
50 and over
Apr-Jun 2012: 4.5%
50 and over
May-Jul 2012: 4.6%
50 and over
Jun-Aug 2012: 4.6%
50 and over
Jul-Sep 2012: 4.4%
50 and over
Aug-Oct 2012: 4.5%
50 and over
Sep-Nov 2012: 4.5%
50 and over
Oct-Dec 2012: 4.4%
50 and over
Nov-Jan 2013: 4.4%
50 and over
Dec-Feb 2013: 4.5%
50 and over
Jan-Mar 2013: 4.6%
50 and over
Feb-Apr 2013: 4.7%
50 and over
Mar-May 2013: 4.6%
50 and over
Apr-Jun 2013: 4.6%
50 and over
May-Jul 2013: 4.5%
50 and over
Jun-Aug 2013: 4.5%
50 and over
Jul-Sep 2013: 4.4%
50 and over
Aug-Oct 2013: 4.4%
50 and over
Sep-Nov 2013: 4.2%
50 and over
Oct-Dec 2013: 4.2%
50 and over
Nov-Jan 2014: 4.3%
50 and over
Dec-Feb 2014: 4.2%
50 and over
Jan-Mar 2014: 4.1%
50 and over
Feb-Apr 2014: 4.0%
50 and over
Mar-May 2014: 4.0%
50 and over
Apr-Jun 2014: 4.0%
50 and over
May-Jul 2014: 3.7%
50 and over
Jun-Aug 2014: 3.6%
50 and over
Jul-Sep 2014: 3.6%
50 and over
Aug-Oct 2014: 3.5%
50 and over
Sep-Nov 2014: 3.4%
50 and over
Oct-Dec 2014: 3.3%
50 and over
Nov-Jan 2015: 3.2%
50 and over
Dec-Feb 2015: 3.2%
50 and over
Jan-Mar 2015: 3.2%
50 and over
Feb-Apr 2015: 3.1%
50 and over
Mar-May 2015: 3.3%
50 and over
Apr-Jun 2015: 3.3%
50 and over
May-Jul 2015: 3.3%
50 and over
Jun-Aug 2015: 3.4%
50 and over
Jul-Sep 2015: 3.3%
50 and over
Aug-Oct 2015: 3.4%
50 and over
Sep-Nov 2015: 3.3%
50 and over
Oct-Dec 2015: 3.2%
50 and over
Nov-Jan 2016: 3.2%
50 and over
Dec-Feb 2016: 3.4%
50 and over
Jan-Mar 2016: 3.5%
50 and over
Feb-Apr 2016: 3.4%
50 and over
Mar-May 2016: 3.3%
50 and over
Apr-Jun 2016: 3.1%
50 and over
May-Jul 2016: 3.2%
50 and over
Jun-Aug 2016: 3.2%
50 and over
Jul-Sep 2016: 3.1%
50 and over
Aug-Oct 2016: 3.1%
50 and over
Sep-Nov 2016: 3.0%
50 and over
Oct-Dec 2016: 3.1%
50 and over
Nov-Jan 2017: 3.0%
50 and over
Dec-Feb 2017: 3.0%
50 and over
Jan-Mar 2017: 2.8%
50 and over
Feb-Apr 2017: 2.9%
50 and over
Mar-May 2017: 2.8%
50 and over
Apr-Jun 2017: 2.9%
50 and over
May-Jul 2017: 3.1%
50 and over
Jun-Aug 2017: 3.0%
50 and over
Jul-Sep 2017: 2.9%
50 and over
Aug-Oct 2017: 2.9%
50 and over
Sep-Nov 2017: 2.9%
50 and over
Oct-Dec 2017: 2.9%
50 and over
Nov-Jan 2018: 2.9%
50 and over
Dec-Feb 2018: 2.8%
50 and over
Jan-Mar 2018: 3.0%
50 and over
Feb-Apr 2018: 2.9%
50 and over
Mar-May 2018: 2.9%
50 and over
Apr-Jun 2018: 2.7%
50 and over
May-Jul 2018: 2.6%
50 and over
Jun-Aug 2018: 2.8%
50 and over
Jul-Sep 2018: 2.8%
50 and over
Aug-Oct 2018: 2.7%
50 and over
Sep-Nov 2018: 2.7%
50 and over
Oct-Dec 2018: 2.7%
50 and over
Nov-Jan 2019: 2.7%
50 and over
Dec-Feb 2019: 2.7%
50 and over
Jan-Mar 2019: 2.7%
50 and over
Feb-Apr 2019: 2.6%
50 and over
Mar-May 2019: 2.6%
50 and over
Apr-Jun 2019: 2.5%
50 and over
May-Jul 2019: 2.5%
50 and over
Jun-Aug 2019: 2.5%
50 and over
Jul-Sep 2019: 2.6%
50 and over
Aug-Oct 2019: 2.7%
50 and over
Sep-Nov 2019: 2.6%
50 and over
Oct-Dec 2019: 2.6%
50 and over
Nov-Jan 2020: 2.8%
50 and over
Dec-Feb 2020: 2.9%
50 and over
Jan-Mar 2020: 2.7%
50 and over
Feb-Apr 2020: 2.6%
50 and over
Mar-May 2020: 2.5%
50 and over
Apr-Jun 2020: 2.6%
50 and over
May-Jul 2020: 2.8%
50 and over
Jun-Aug 2020: 3.2%
50 and over
Jul-Sep 2020: 3.4%
50 and over
Aug-Oct 2020: 3.7%
50 and over
Sep-Nov 2020: 3.8%
50 and over
Oct-Dec 2020: 3.9%
50 and over
Nov-Jan 2021: 3.9%
50 and over
Dec-Feb 2021: 4.0%
50 and over
Jan-Mar 2021: 3.9%
50 and over
Feb-Apr 2021: 3.7%
50 and over
Mar-May 2021: 3.7%
50 and over
Apr-Jun 2021: 3.5%
50 and over
May-Jul 2021: 3.3%
50 and over
Jun-Aug 2021: 3.2%
50 and over
Jul-Sep 2021: 3.3%
50 and over
Aug-Oct 2021: 3.3%
50 and over
Sep-Nov 2021: 3.2%
50 and over
Oct-Dec 2021: 3.0%
50 and over
Nov-Jan 2022: 2.8%
50 and over
Dec-Feb 2022: 2.6%
50 and over
Jan-Mar 2022: 2.5%
50 and over
Feb-Apr 2022: 2.7%
50 and over
Mar-May 2022: 2.6%

This example was made with config:

YAML
data: test.data.unemploymentByAge
legend:
  show: true
axis:
  x:
    title:
      label: Year
    grid:
      stroke-dasharray: 6 2
      stroke-width: 1
    ticks:
      - value: 2000
        grid: true
        label: '2000'
        tickSize: 5
      - value: 2002
        grid: true
        label: ''
      - value: 2004
        grid: true
        label: ''
      - value: 2006
        grid: true
        label: ''
      - value: 2008
        grid: true
        label: ''
      - value: 2010
        grid: true
        label: '2010'
        tickSize: 5
      - value: 2012
        grid: true
        label: ''
      - value: 2014
        grid: true
        label: ''
      - value: 2016
        grid: true
        label: ''
      - value: 2018
        grid: true
        label: ''
      - value: 2020
        grid: true
        label: '2020'
        tickSize: 5
    min: 2000
    max: 2022.5
  'y':
    min: 0
    max: 45
    title:
      label: Unemployment
    grid:
      stroke-width: 0.5
    ticks:
      - value: 0
        grid: true
        label: 0%
      - value: 5
        grid: true
        label: ''
      - value: 10
        grid: true
        label: 10%
      - value: 15
        grid: true
        label: ''
      - value: 20
        grid: true
        label: 20%
      - value: 25
        grid: true
        label: ''
      - value: 30
        grid: true
        label: 30%
      - value: 35
        grid: true
        label: ''
      - value: 40
        grid: true
        label: 40%
      - value: 45
        grid: true
        label: ''
    tick:
      size: 5
series:
  - title: 16-17
    x: Year
    y: 16-17→rate (%)1
    colour: '#e52e36'
    tooltip: '16-17<br />{{ Date }}: {{ 16-17→rate (%)1 | toFixed(1) }}%'
  - title: 18-24
    x: Year
    y: 18-24→rate (%)1
    colour: '#f7ab3d'
    tooltip: '18-24<br />{{ Date }}: {{ 18-24→rate (%)1 | toFixed(1) }}%'
  - title: 25-49
    x: Year
    y: 25-49→rate (%)1
    colour: '#c7b200'
    tooltip: '25-49<br />{{ Date }}: {{ 25-49→rate (%)1 | toFixed(1) }}%'
  - title: 50-64
    x: Year
    y: 50 and over→rate (%)1
    colour: '#005776'
    tooltip: '50 and over<br />{{ Date }}: {{ 50 and over→rate (%)1 | toFixed(1) }}%'
JSON
{
	"data": "test.data.unemploymentByAge",
	"legend": {
		"show": true
	},
	"axis": {
		"x": {
			"title": {
				"label": "Year"
			},
			"grid": {
				"stroke-dasharray": "6 2",
				"stroke-width": 1
			},
			"ticks": [{
					"value": 2000,
					"grid": true,
					"label": "2000",
					"tickSize": 5
				},{
					"value": 2002,
					"grid": true,
					"label": ""
				},{
					"value": 2004,
					"grid": true,
					"label": ""
				},{
					"value": 2006,
					"grid": true,
					"label": ""
				},{
					"value": 2008,
					"grid": true,
					"label": ""
				},{
					"value": 2010,
					"grid": true,
					"label": "2010",
					"tickSize": 5
				},{
					"value": 2012,
					"grid": true,
					"label": ""
				},{
					"value": 2014,
					"grid": true,
					"label": ""
				},{
					"value": 2016,
					"grid": true,
					"label": ""
				},{
					"value": 2018,
					"grid": true,
					"label": ""
				},{
					"value": 2020,
					"grid": true,
					"label": "2020",
					"tickSize": 5
				}],
			"min": 2000,
			"max": 2022.5
		},
		"y": {
			"min": 0,
			"max": 45,
			"title": {
				"label": "Unemployment"
			},
			"grid": {
				"stroke-width": 0.5
			},
			"ticks": [{
					"value": 0,
					"grid": true,
					"label": "0%"
				},{
					"value": 5,
					"grid": true,
					"label": ""
				},{
					"value": 10,
					"grid": true,
					"label": "10%"
				},{
					"value": 15,
					"grid": true,
					"label": ""
				},{
					"value": 20,
					"grid": true,
					"label": "20%"
				},{
					"value": 25,
					"grid": true,
					"label": ""
				},{
					"value": 30,
					"grid": true,
					"label": "30%"
				},{
					"value": 35,
					"grid": true,
					"label": ""
				},{
					"value": 40,
					"grid": true,
					"label": "40%"
				},{
					"value": 45,
					"grid": true,
					"label": ""
				}],
			"tick": {
				"size": 5
			}
		}
	},
	"series": [{
			"title": "16-17",
			"x": "Year",
			"y": "16-17→rate (%)1",
			"colour": "#e52e36",
			"tooltip": "16-17<br />{{ Date }}: {{ 16-17→rate (%)1 | toFixed(1) }}%"
		},{
			"title": "18-24",
			"x": "Year",
			"y": "18-24→rate (%)1",
			"colour": "#f7ab3d",
			"tooltip": "18-24<br />{{ Date }}: {{ 18-24→rate (%)1 | toFixed(1) }}%"
		},{
			"title": "25-49",
			"x": "Year",
			"y": "25-49→rate (%)1",
			"colour": "#c7b200",
			"tooltip": "25-49<br />{{ Date }}: {{ 25-49→rate (%)1 | toFixed(1) }}%"
		},{
			"title": "50-64",
			"x": "Year",
			"y": "50 and over→rate (%)1",
			"colour": "#005776",
			"tooltip": "50 and over<br />{{ Date }}: {{ 50 and over→rate (%)1 | toFixed(1) }}%"
		}]
}

4. Category-based data§

Embeddable version

Sometimes you have data that is in categories.

Series 3
Series 2
Series 1
ABCDEFGHIJ0100255075Series 1 A: 10Series 1 B: 20Series 1 C: 23Series 1 D: 47Series 1 E: 34Series 1 F: 55Series 1 G: 49Series 1 H: 20Series 1 I: 10Series 1 J: 5Series 2 A: 12Series 2 B: 22Series 2 C: 21Series 2 D: 45Series 2 E: 37Series 2 F: 57Series 2 G: 59Series 2 H: 30Series 2 I: 12Series 2 J: 2Series 3 A: 15Series 3 B: 32Series 3 C: 24Series 3 D: 35Series 3 E: 31Series 3 F: 52Series 3 G: 19Series 3 H: 10Series 3 I: 1Series 3 J: 30

This example was made with config:

YAML
legend:
  show: true
data: test.data.example_data
axis:
  x:
    grid:
      show: true
    min: -0.5
    max: 9.5
    ticks:
      - value: 0
        label: A
      - value: 1
        label: B
      - value: 2
        label: C
      - value: 3
        label: D
      - value: 4
        label: E
      - value: 5
        label: F
      - value: 6
        label: G
      - value: 7
        label: H
      - value: 8
        label: I
      - value: 9
        label: J
  'y':
    grid:
      show: true
    tick:
      spacing: 25
    max: 100
series:
  - title: Series 1
    colour: red
    x: category
    y: series1
  - title: Series 2
    colour: blue
    x: category
    y: series2
  - title: Series 3
    colour: green
    x: category
    y: series3
JSON
{
	"legend": {
		"show": true
	},
	"data": "test.data.example_data",
	"axis": {
		"x": {
			"grid": {
				"show": true
			},
			"min": -0.5,
			"max": 9.5,
			"ticks": [{
					"value": 0,
					"label": "A"
				},{
					"value": 1,
					"label": "B"
				},{
					"value": 2,
					"label": "C"
				},{
					"value": 3,
					"label": "D"
				},{
					"value": 4,
					"label": "E"
				},{
					"value": 5,
					"label": "F"
				},{
					"value": 6,
					"label": "G"
				},{
					"value": 7,
					"label": "H"
				},{
					"value": 8,
					"label": "I"
				},{
					"value": 9,
					"label": "J"
				}]
		},
		"y": {
			"grid": {
				"show": true
			},
			"tick": {
				"spacing": 25
			},
			"max": 100
		}
	},
	"series": [{
			"title": "Series 1",
			"colour": "red",
			"x": "category",
			"y": "series1"
		},{
			"title": "Series 2",
			"colour": "blue",
			"x": "category",
			"y": "series2"
		},{
			"title": "Series 3",
			"colour": "green",
			"x": "category",
			"y": "series3"
		}]
}

5. Custom icons§

Embeddable version

Line markers can be defined using the points object on a series. Points can have a marker (one of circle, triangle, square, diamond, pentagon, hexagon, octagon, line, or cross), a size, and a rotation given by rotate (in degrees).

Series 3
Series 2
Series 1
0.00.20.40.60.81.01.20100255075Series 1 0.09: 10Series 1 0.19: 20Series 1 0.28: 23Series 1 0.41: 47Series 1 0.52: 34Series 1 0.61: 55Series 1 0.69: 49Series 1 0.83: 20Series 1 0.91: 10Series 1 1.05: 5Series 2 0.1: 12Series 2 0.2: 22Series 2 0.3: 21Series 2 0.4: 45Series 2 0.5: 37Series 2 0.6: 57Series 2 0.7: 59Series 2 0.8: 30Series 2 0.9: 12Series 2 1: 2Series 3 0.1: 15Series 3 0.19: 32Series 3 0.31: 24Series 3 0.39: 35Series 3 0.49: 31Series 3 0.61: 52Series 3 0.68: 19Series 3 0.81: 10Series 3 0.89: 1Series 3 1.01: 30

This example was made with config:

YAML
legend:
  show: true
data:
  - series1-y: 10
    series2-y: 12
    series3-y: 15
    series1-x: 0.09
    series2-x: 0.1
    series3-x: 0.1
  - series1-y: 20
    series2-y: 22
    series3-y: 32
    series1-x: 0.19
    series2-x: 0.2
    series3-x: 0.19
  - series1-y: 23
    series2-y: 21
    series3-y: 24
    series1-x: 0.28
    series2-x: 0.3
    series3-x: 0.31
  - series1-y: 47
    series2-y: 45
    series3-y: 35
    series1-x: 0.41
    series2-x: 0.4
    series3-x: 0.39
  - series1-y: 34
    series2-y: 37
    series3-y: 31
    series1-x: 0.52
    series2-x: 0.5
    series3-x: 0.49
  - series1-y: 55
    series2-y: 57
    series3-y: 52
    series1-x: 0.61
    series2-x: 0.6
    series3-x: 0.61
  - series1-y: 49
    series2-y: 59
    series3-y: 19
    series1-x: 0.69
    series2-x: 0.7
    series3-x: 0.68
  - series1-y: 20
    series2-y: 30
    series3-y: 10
    series1-x: 0.83
    series2-x: 0.8
    series3-x: 0.81
  - series1-y: 10
    series2-y: 12
    series3-y: 1
    series1-x: 0.91
    series2-x: 0.9
    series3-x: 0.89
  - series1-y: 5
    series2-y: 2
    series3-y: 30
    series1-x: 1.05
    series2-x: 1
    series3-x: 1.01
axis:
  x:
    grid:
      show: true
    tick:
      spacing: 0.2
  'y':
    grid:
      show: true
    tick:
      spacing: 25
    max: 100
series:
  - title: Series 1
    x: series1-x
    y: series1-y
    points:
      size: 8
  - title: Series 2
    x: series2-x
    y: series2-y
    points:
      marker: square
      size: 16
  - title: Series 3
    x: series3-x
    y: series3-y
    points:
      marker: triangle
      rotate: 180
      size: 32
JSON
{
	"legend": {
		"show": true
	},
	"data": [{
			"series1-y": 10,
			"series2-y": 12,
			"series3-y": 15,
			"series1-x": 0.09,
			"series2-x": 0.1,
			"series3-x": 0.1
		},{
			"series1-y": 20,
			"series2-y": 22,
			"series3-y": 32,
			"series1-x": 0.19,
			"series2-x": 0.2,
			"series3-x": 0.19
		},{
			"series1-y": 23,
			"series2-y": 21,
			"series3-y": 24,
			"series1-x": 0.28,
			"series2-x": 0.3,
			"series3-x": 0.31
		},{
			"series1-y": 47,
			"series2-y": 45,
			"series3-y": 35,
			"series1-x": 0.41,
			"series2-x": 0.4,
			"series3-x": 0.39
		},{
			"series1-y": 34,
			"series2-y": 37,
			"series3-y": 31,
			"series1-x": 0.52,
			"series2-x": 0.5,
			"series3-x": 0.49
		},{
			"series1-y": 55,
			"series2-y": 57,
			"series3-y": 52,
			"series1-x": 0.61,
			"series2-x": 0.6,
			"series3-x": 0.61
		},{
			"series1-y": 49,
			"series2-y": 59,
			"series3-y": 19,
			"series1-x": 0.69,
			"series2-x": 0.7,
			"series3-x": 0.68
		},{
			"series1-y": 20,
			"series2-y": 30,
			"series3-y": 10,
			"series1-x": 0.83,
			"series2-x": 0.8,
			"series3-x": 0.81
		},{
			"series1-y": 10,
			"series2-y": 12,
			"series3-y": 1,
			"series1-x": 0.91,
			"series2-x": 0.9,
			"series3-x": 0.89
		},{
			"series1-y": 5,
			"series2-y": 2,
			"series3-y": 30,
			"series1-x": 1.05,
			"series2-x": 1,
			"series3-x": 1.01
		}],
	"axis": {
		"x": {
			"grid": {
				"show": true
			},
			"tick": {
				"spacing": 0.2
			}
		},
		"y": {
			"grid": {
				"show": true
			},
			"tick": {
				"spacing": 25
			},
			"max": 100
		}
	},
	"series": [{
			"title": "Series 1",
			"x": "series1-x",
			"y": "series1-y",
			"points": {
				"size": 8
			}
		},{
			"title": "Series 2",
			"x": "series2-x",
			"y": "series2-y",
			"points": {
				"marker": "square",
				"size": 16
			}
		},{
			"title": "Series 3",
			"x": "series3-x",
			"y": "series3-y",
			"points": {
				"marker": "triangle",
				"rotate": 180,
				"size": 32
			}
		}]
}

6. Gaps in series Since 0.15.1§

Embeddable version

This is a test to show what happens if data is missing in a series. In this case series 1 has no value at x=0.52 and series 2 is missing values for x=0.7 and x=0.8.

Series 3
Series 2
Series 1
0.00.20.40.60.81.01.20100255075Series 1 0.09: 10Series 1 0.19: 20Series 1 0.28: 23Series 1 0.41: 47Series 1 0.61: 55Series 1 0.69: 49Series 1 0.83: 20Series 1 0.91: 10Series 1 1.05: 5Series 2 0.1: 12Series 2 0.2: 22Series 2 0.3: 21Series 2 0.4: 45Series 2 0.5: 37Series 2 0.6: 57Series 2 0.9: 12Series 2 1: 2Series 3 0.1: 15Series 3 0.19: 32Series 3 0.31: 24Series 3 0.39: 35Series 3 0.49: 31Series 3 0.61: 52Series 3 0.68: 19Series 3 0.81: 10Series 3 0.89: 1Series 3 1.01: 30

This example was made with config:

YAML
legend:
  show: true
data: test.data.scatter-chart-data
axis:
  x:
    grid:
      show: true
    tick:
      spacing: 0.2
  'y':
    grid:
      show: true
    tick:
      spacing: 25
    max: 100
series:
  - title: Series 1
    x: value 1
    y: Series 1
    points:
      size: 8
  - title: Series 2
    x: value 2
    y: Series 2
    points:
      marker: square
      size: 16
  - title: Series 3
    x: value 3
    y: Series 3
    points:
      marker: triangle
      rotate: 180
      size: 32
JSON
{
	"legend": {
		"show": true
	},
	"data": "test.data.scatter-chart-data",
	"axis": {
		"x": {
			"grid": {
				"show": true
			},
			"tick": {
				"spacing": 0.2
			}
		},
		"y": {
			"grid": {
				"show": true
			},
			"tick": {
				"spacing": 25
			},
			"max": 100
		}
	},
	"series": [{
			"title": "Series 1",
			"x": "value 1",
			"y": "Series 1",
			"points": {
				"size": 8
			}
		},{
			"title": "Series 2",
			"x": "value 2",
			"y": "Series 2",
			"points": {
				"marker": "square",
				"size": 16
			}
		},{
			"title": "Series 3",
			"x": "value 3",
			"y": "Series 3",
			"points": {
				"marker": "triangle",
				"rotate": 180,
				"size": 32
			}
		}]
}

7. Limiting a series to specific rows Since 0.16.0§

Embeddable version

Sometimes you may have a big, stacked, file where you may want to use some rows for one series and other rows for another. We can limit a particular series to only use certain rows by using the option where. In the example below we have a dataset relating to housing that has a column London borough that can take the values isLondon and notLondon. We could limit a particular series to rows that contain the value notLondon by setting where to "London borough"="notLondon".

Empties in London
Empties outside London
London
Outside London
010152025303550100255075Outside London 2.82: 48Outside London 2.86: 45Outside London 4.14: 47Outside London 4.63: 42Outside London 4.7: 44Outside London 3.98: 45Outside London 4.75: 45Outside London 4.32: 47Outside London 3.98: 47Outside London 4.79: 36Outside London 4.69: 37Outside London 4.74: 40Outside London 4.62: 41Outside London 4.82: 44Outside London 4.6: 46Outside London 4.9: 47Outside London 4.55: 47Outside London 5.03: 40Outside London 4.19: 39Outside London 4.16: 40Outside London 3.74: 48Outside London 4.23: 42Outside London 5.17: 46Outside London 5.4: 47Outside London 4.58: 46Outside London 5.17: 41Outside London 5.1: 40Outside London 4.98: 42Outside London 4.62: 43Outside London 4.98: 37Outside London 5.28: 39Outside London 5.05: 39Outside London 5.25: 41Outside London 5.18: 46Outside London 5.23: 41Outside London 5.18: 43Outside London 5.07: 45Outside London 5.32: 45Outside London 5.05: 41Outside London 4.6: 43Outside London 4.37: 37Outside London 4.67: 40Outside London 5.66: 41Outside London 5.52: 40Outside London 5.71: 36Outside London 4.98: 40Outside London 5.57: 42Outside London 4.74: 41Outside London 5.19: 39Outside London 4.8: 39Outside London 4.9: 38Outside London 5: 38Outside London 5.33: 35Outside London 5.12: 38Outside London 5.37: 35Outside London 5.03: 34Outside London 5.06: 33Outside London 5.84: 33Outside London 5.06: 30Outside London 5.02: 32Outside London 4.54: 30Outside London 4.99: 36Outside London 5.53: 38Outside London 5.64: 38Outside London 5.44: 40Outside London 5: 39Outside London 5.32: 37Outside London 4.95: 34Outside London 5.07: 34Outside London 4.79: 32Outside London 5.09: 32Outside London 5.07: 28Outside London 4.86: 31Outside London 5.37: 32Outside London 5.43: 35Outside London 4.99: 36Outside London 5.19: 37Outside London 5.63: 33Outside London 5.23: 30Outside London 5.03: 31Outside London 5.12: 37Outside London 5.97: 38Outside London 5.94: 37Outside London 5.45: 37Outside London 5.88: 41Outside London 5.46: 37Outside London 5.45: 38Outside London 5.16: 40Outside London 5.26: 40Outside London 5.34: 36Outside London 4.76: 33Outside London 5.18: 34Outside London 4.83: 31Outside London 4.96: 32Outside London 5.26: 34Outside London 5.06: 35Outside London 5.55: 32Outside London 5.26: 30Outside London 5.32: 33Outside London 5.02: 33Outside London 4.58: 34Outside London 5.6: 28Outside London 5.83: 31Outside London 5.38: 33Outside London 5.25: 32Outside London 5.19: 35Outside London 5.47: 32Outside London 4.96: 33Outside London 4.83: 28Outside London 4.8: 23Outside London 4.96: 23Outside London 5.01: 22Outside London 5.34: 22Outside London 5.24: 18Outside London 5.07: 21Outside London 5.33: 24Outside London 5.03: 22Outside London 5.73: 20Outside London 5.12: 23Outside London 4.95: 24Outside London 5.82: 30Outside London 6: 36Outside London 5.43: 37Outside London 6.13: 28Outside London 5.49: 32Outside London 5.32: 28Outside London 5.66: 26Outside London 5.7: 25Outside London 5.56: 27Outside London 5.83: 22Outside London 5.95: 26Outside London 5.81: 26Outside London 6: 22Outside London 6.21: 20Outside London 5.85: 21Outside London 6.15: 21Outside London 6.71: 21Outside London 7.45: 19Outside London 7.36: 18Outside London 7.27: 19Outside London 4.57: 49Outside London 4.64: 47Outside London 4.86: 44Outside London 5.09: 43Outside London 5.46: 40Outside London 5.04: 40Outside London 4.28: 40Outside London 5.11: 40Outside London 5.74: 42Outside London 5.51: 45Outside London 5.19: 44Outside London 4.86: 44Outside London 4.32: 47Outside London 4.04: 45Outside London 4.39: 45Outside London 4.41: 42Outside London 4.45: 39Outside London 4.97: 37Outside London 4.75: 39Outside London 4.71: 39Outside London 4.83: 38Outside London 4.88: 36Outside London 4.91: 37Outside London 4.47: 36Outside London 5.53: 29Outside London 5.55: 30Outside London 5.63: 33Outside London 5.55: 43Outside London 5.47: 40Outside London 4.93: 37Outside London 5.28: 35Outside London 5.24: 35Outside London 5.33: 36Outside London 5.24: 33Outside London 5.41: 32Outside London 5.82: 29Outside London 5.93: 28Outside London 6.18: 26Outside London 6.09: 27Outside London 5.98: 26Outside London 6: 26Outside London 7.09: 24Outside London 6.6: 25Outside London 6.42: 27Outside London 3.89: 39Outside London 4.08: 36Outside London 4.7: 35Outside London 5.08: 47Outside London 5.03: 45Outside London 4.48: 41Outside London 5.11: 41Outside London 4.74: 41Outside London 4.52: 42Outside London 4.43: 40Outside London 5.02: 42Outside London 4.98: 43Outside London 4.66: 42Outside London 5.51: 43Outside London 5: 43Outside London 4.84: 43Outside London 4.79: 40Outside London 5.37: 38Outside London 5.35: 39Outside London 4.33: 41Outside London 4.23: 30Outside London 4.29: 31Outside London 4.64: 34Outside London 4.76: 33Outside London 4.99: 33Outside London 4.82: 36Outside London 4.7: 34Outside London 4.38: 36Outside London 4.28: 36Outside London 4.2: 35Outside London 4.36: 34Outside London 4.4: 31Outside London 4.54: 31Outside London 4.86: 30Outside London 4.83: 32Outside London 5.01: 31Outside London 4.97: 29Outside London 5.58: 29Outside London 5.53: 29Outside London 5.44: 34Outside London 6.49: 22Outside London 6.71: 21Outside London 7.19: 25Outside London 7.03: 22Outside London 7.05: 21Outside London 6.28: 17Outside London 7.02: 17Outside London 6.88: 15Outside London 6.7: 15Outside London 6.53: 14Outside London 7.27: 10Outside London 8.2: 10Outside London 8.3: 13Outside London 8.76: 20Outside London 8.81: 23Outside London 8.52: 24Outside London 8.32: 29Outside London 8.87: 26Outside London 8.96: 28Outside London 9.3: 30Outside London 4.8: 49Outside London 5.05: 46Outside London 5.27: 48Outside London 5.12: 44Outside London 4.52: 42Outside London 4.73: 43Outside London 4.57: 37Outside London 4.51: 35Outside London 4.72: 32Outside London 4.88: 30Outside London 4.83: 27Outside London 5.04: 27Outside London 5.08: 28Outside London 4.85: 27Outside London 5.43: 28Outside London 5.4: 30Outside London 6.09: 28Outside London 6.2: 27Outside London 5.99: 29Outside London 6.2: 41Outside London 6.27: 46Outside London 6.27: 41Outside London 6.18: 44Outside London 6.32: 41Outside London 5.76: 41Outside London 5.83: 36Outside London 5.7: 37Outside London 5.78: 38Outside London 5.55: 32Outside London 5.65: 33Outside London 6.16: 29Outside London 6.41: 28Outside London 6.96: 28Outside London 7.53: 30Outside London 7.45: 30Outside London 7.41: 31Outside London 8.31: 34Outside London 8.14: 35Outside London 8.1: 33Outside London 8.53: 19Outside London 8.85: 33Outside London 9.3: 35Outside London 8.76: 32Outside London 8.77: 35Outside London 7.59: 34Outside London 8.78: 34Outside London 7.91: 35Outside London 8.51: 36Outside London 8.47: 30Outside London 8.46: 28Outside London 8.18: 31Outside London 8.62: 29Outside London 8.68: 28Outside London 9.38: 32Outside London 8.95: 28Outside London 9.23: 30Outside London 9.5: 27Outside London 9.02: 28Outside London 9.06: 32Outside London 5.04: 40Outside London 5.27: 41Outside London 5.4: 46Outside London 5.07: 49Outside London 5.29: 45Outside London 4.41: 45Outside London 4.53: 39Outside London 4.26: 35Outside London 4.31: 32Outside London 4.46: 26Outside London 4.86: 30Outside London 4.98: 32Outside London 5.14: 29Outside London 5.53: 28Outside London 5.8: 31Outside London 5.58: 30Outside London 5.87: 33Outside London 6.71: 31Outside London 6.55: 33Outside London 6.6: 31Outside London 8.19: 28Outside London 8.41: 28Outside London 8.98: 30Outside London 8.89: 30Outside London 8.76: 32Outside London 7.85: 31Outside London 9.04: 26Outside London 8.75: 26Outside London 8.8: 25Outside London 8.62: 21Outside London 8.25: 15Outside London 8.98: 15Outside London 8.11: 12Outside London 9.36: 11Outside London 9.34: 11Outside London 8.96: 13Outside London 8.61: 13Outside London 9.4: 15Outside London 9.5: 25Outside London 9.35: 28Outside London 5.76: 23Outside London 5.96: 20Outside London 6.24: 21Outside London 5.95: 22Outside London 5.92: 25Outside London 6.04: 26Outside London 6.21: 28Outside London 6.05: 30Outside London 6.07: 29Outside London 6.06: 28Outside London 6.08: 26Outside London 5.99: 28Outside London 6.24: 28Outside London 6.77: 28Outside London 6.37: 27Outside London 6.28: 27Outside London 6.46: 25Outside London 7.46: 24Outside London 7.09: 26Outside London 6.45: 27Outside London 3.77: 47Outside London 4.34: 47Outside London 4.54: 48Outside London 4.19: 43Outside London 4.01: 46Outside London 3.97: 45Outside London 4.08: 40Outside London 4.27: 40Outside London 4.41: 40Outside London 4.61: 40Outside London 4.63: 42Outside London 4.62: 38Outside London 4.73: 38Outside London 4.63: 39Outside London 5.1: 38Outside London 4.92: 40Outside London 4.71: 39Outside London 8: 22Outside London 8.57: 22Outside London 8.24: 24Outside London 9.21: 25Outside London 8.77: 25Outside London 8.02: 26Outside London 8.68: 24Outside London 8.87: 24Outside London 8.56: 25Outside London 8.02: 22Outside London 8.76: 21Outside London 9.52: 21Outside London 9.78: 21Outside London 10.78: 21Outside London 10.19: 23Outside London 10.08: 25Outside London 10.61: 24Outside London 12.25: 26Outside London 10.32: 29Outside London 10.08: 27Outside London 6.63: 36Outside London 6.8: 32Outside London 7.08: 30Outside London 7.53: 29Outside London 7.28: 29Outside London 6.36: 27Outside London 6.65: 27Outside London 6.78: 24Outside London 6.74: 23Outside London 6.75: 19Outside London 7.16: 20Outside London 7.62: 19Outside London 8.66: 19Outside London 9.13: 22Outside London 9.06: 22Outside London 8.85: 20Outside London 8.66: 21Outside London 9.69: 21Outside London 9.64: 24Outside London 9.81: 25Outside London 6.36: 25Outside London 6.54: 27Outside London 6.61: 23Outside London 6.92: 22Outside London 7.12: 25Outside London 6.43: 25Outside London 6.86: 25Outside London 6.45: 24Outside London 6.3: 23Outside London 6.37: 19Outside London 6.69: 15Outside London 7.29: 15Outside London 7.51: 14Outside London 7.68: 14Outside London 8.27: 16Outside London 8.3: 18Outside London 7.79: 20Outside London 10.22: 22Outside London 8.89: 23Outside London 8.89: 27Outside London 6.35: 15Outside London 6.66: 18Outside London 6.81: 19Outside London 7.41: 19Outside London 7.19: 21Outside London 6.47: 21Outside London 7.09: 21Outside London 6.74: 20Outside London 6.73: 19Outside London 6.89: 17Outside London 6.99: 18Outside London 7.65: 16Outside London 8.07: 18Outside London 8.48: 16Outside London 8.83: 19Outside London 8.69: 19Outside London 9.07: 21Outside London 9.76: 20Outside London 9.82: 21Outside London 9.12: 21Outside London 5.73: 28Outside London 6.55: 26Outside London 6.57: 24Outside London 7.14: 26Outside London 6.34: 27Outside London 5.99: 27Outside London 6.14: 26Outside London 6: 26Outside London 5.96: 29Outside London 6.01: 26Outside London 6.33: 24Outside London 6.48: 25Outside London 6.61: 23Outside London 6.26: 21Outside London 6.32: 24Outside London 6.89: 23Outside London 6.48: 20Outside London 7.57: 20Outside London 7.54: 21Outside London 6.7: 21Outside London 8.02: 43Outside London 8.29: 46Outside London 8.19: 46Outside London 8.8: 47Outside London 7.25: 49Outside London 7.35: 45Outside London 7.3: 45Outside London 7.53: 45Outside London 7.82: 42Outside London 8.03: 42Outside London 7.87: 42Outside London 8.05: 45Outside London 7.64: 40Outside London 7.51: 35Outside London 8.73: 32Outside London 8.43: 37Outside London 8.74: 41Outside London 6: 22Outside London 6.14: 29Outside London 6.26: 22Outside London 6.18: 20Outside London 5.92: 19Outside London 5.28: 22Outside London 5.81: 21Outside London 5.58: 20Outside London 5.57: 21Outside London 5.82: 20Outside London 5.9: 19Outside London 6.22: 18Outside London 6.67: 19Outside London 7.45: 21Outside London 7.6: 20Outside London 7.5: 19Outside London 7.21: 21Outside London 8.04: 19Outside London 7.62: 20Outside London 7.5: 19Outside London 5.76: 26Outside London 6.03: 25Outside London 6.3: 30Outside London 6.59: 30Outside London 6.23: 34Outside London 5.6: 35Outside London 5.63: 31Outside London 5.53: 27Outside London 5.38: 24Outside London 5.73: 22Outside London 6.09: 23Outside London 6.37: 21Outside London 6.46: 20Outside London 7.04: 19Outside London 7.33: 20Outside London 7.16: 23Outside London 7.5: 26Outside London 7.75: 23Outside London 7.53: 22Outside London 7.13: 24Outside London 5.77: 28Outside London 6.24: 29Outside London 6.22: 32Outside London 6.99: 29Outside London 6.72: 29Outside London 5.74: 28Outside London 6.25: 29Outside London 6.08: 28Outside London 6.12: 27Outside London 6.08: 22Outside London 6.47: 16Outside London 6.94: 18Outside London 8.12: 22Outside London 8.17: 17Outside London 8.77: 22Outside London 8.12: 21Outside London 8.55: 22Outside London 9.4: 24Outside London 9.4: 29Outside London 9.29: 34Outside London 6.13: 33Outside London 6.54: 36Outside London 6.9: 36Outside London 6.9: 33Outside London 7: 33Outside London 6.04: 33Outside London 6.41: 32Outside London 6.55: 35Outside London 6.54: 34Outside London 6.94: 30Outside London 6.81: 29Outside London 7.69: 27Outside London 7.94: 26Outside London 8.64: 23Outside London 8.6: 25Outside London 8.98: 29Outside London 8.76: 26Outside London 9.03: 24Outside London 9.71: 27Outside London 8.53: 24Outside London 6: 23Outside London 6.57: 30Outside London 6.67: 32Outside London 6.7: 30Outside London 6.32: 28Outside London 5.69: 29Outside London 5.89: 27Outside London 6.28: 27Outside London 6.01: 28Outside London 5.93: 25Outside London 6.45: 23Outside London 7.06: 23Outside London 8.43: 21Outside London 9.26: 22Outside London 9.26: 25Outside London 9.06: 23Outside London 8.64: 23Outside London 9.12: 27Outside London 9.38: 28Outside London 9.63: 26Outside London 5.83: 32Outside London 6.18: 33Outside London 5.82: 33Outside London 6.26: 34Outside London 6.04: 33Outside London 5.13: 33Outside London 5.56: 33Outside London 5.33: 34Outside London 5.24: 31Outside London 5.69: 30Outside London 5.67: 27Outside London 6.33: 26Outside London 7.27: 24Outside London 7.64: 28Outside London 7.96: 30Outside London 7.89: 33Outside London 7.67: 31Outside London 9.29: 29Outside London 8.81: 26Outside London 8.38: 26Outside London 6.38: 20Outside London 6.61: 21Outside London 6.93: 22Outside London 7.29: 23Outside London 7.7: 25Outside London 6.65: 26Outside London 7.78: 24Outside London 7.35: 19Outside London 7.78: 20Outside London 7.63: 19Outside London 8.28: 17Outside London 9.05: 22Outside London 10.33: 19Outside London 10.13: 20Outside London 10.63: 22Outside London 9.97: 23Outside London 9.81: 29Outside London 10.66: 21Outside London 10.35: 24Outside London 10.11: 22Outside London 7.58: 26Outside London 7.63: 31Outside London 7.53: 28Outside London 8.56: 33Outside London 7.65: 21Outside London 7.57: 21Outside London 7.85: 19Outside London 8.24: 19Outside London 7.74: 19Outside London 7.64: 18Outside London 8.13: 16Outside London 8.95: 17Outside London 9.69: 14Outside London 10.14: 11Outside London 10.61: 12Outside London 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16Outside London 10.57: 22Outside London 7.93: 34Outside London 8.22: 32Outside London 8.13: 27Outside London 9.13: 28Outside London 9.02: 32Outside London 8.08: 32Outside London 9.2: 29Outside London 8.74: 30Outside London 8.37: 30Outside London 8.86: 29Outside London 9.87: 24Outside London 11.16: 26Outside London 11.91: 27Outside London 12.44: 26Outside London 11.73: 27Outside London 11.28: 25Outside London 11.93: 27Outside London 13.17: 24Outside London 12.9: 23Outside London 12.84: 24Outside London 7.94: 21Outside London 7.5: 23Outside London 7.44: 20Outside London 8.24: 21Outside London 7.83: 22Outside London 7.41: 21Outside London 7.55: 20Outside London 7.54: 21Outside London 7.53: 21Outside London 7.59: 19Outside London 8.7: 19Outside London 9.74: 17Outside London 10.62: 18Outside London 11.39: 19Outside London 10.52: 21Outside London 10.95: 23Outside London 10.98: 20Outside London 11.56: 21Outside London 11: 20Outside London 10.9: 20Outside London 6.19: 23Outside London 6.8: 25Outside London 6.84: 25Outside London 6.86: 22Outside London 6.78: 24Outside London 6.05: 23Outside London 6.7: 21Outside London 6.25: 22Outside London 6.4: 21Outside London 6.35: 19Outside London 6.92: 16Outside London 8.12: 8Outside London 8.5: 16Outside London 8.43: 17Outside London 9.28: 18Outside London 8.83: 19Outside London 9.02: 19Outside London 9.57: 21Outside London 9.43: 23Outside London 8.92: 25Outside London 7.41: 34Outside London 8.16: 31Outside London 8.22: 31Outside London 8.84: 32Outside London 8.52: 26Outside London 7.56: 30Outside London 8.49: 29Outside London 8.57: 33Outside London 8.54: 32Outside London 8.86: 31Outside London 9.29: 32Outside London 10.43: 30Outside London 10.54: 32Outside London 11.4: 33Outside London 11.48: 31Outside London 11.25: 34Outside London 10.64: 35Outside London 12.38: 35Outside London 12.05: 38Outside London 12.38: 40Outside London 6.54: 27Outside London 6.33: 30Outside London 6.54: 36Outside London 7.11: 37Outside London 7.05: 39Outside London 5.66: 38Outside London 5.89: 31Outside London 6.13: 32Outside London 6.05: 31Outside London 6.11: 30Outside London 6.19: 30Outside London 6.41: 29Outside London 7.15: 25Outside London 7.5: 27Outside London 7.66: 32Outside London 7.35: 31Outside London 8.02: 31Outside London 8.04: 37Outside London 7.73: 33Outside London 7.98: 34Outside London 6.64: 31Outside London 6.85: 30Outside London 6.96: 32Outside London 7.33: 32Outside London 7.31: 33Outside London 6.53: 30Outside London 6.92: 30Outside London 6.79: 32Outside London 6.58: 33Outside London 6.48: 27Outside London 6.75: 26Outside London 6.92: 26Outside London 7.18: 24Outside London 7.47: 25Outside London 8.05: 27Outside London 7.5: 28Outside London 7.35: 28Outside London 7.52: 27Outside London 7.47: 29Outside London 7.61: 29Outside London 7.68: 31Outside London 7.49: 33Outside London 7.73: 36Outside London 7.78: 38Outside London 7.33: 39Outside London 6.92: 40Outside London 7.85: 37Outside London 7.12: 37Outside London 6.89: 37Outside London 7.07: 37Outside London 6.97: 34Outside London 7.27: 32Outside London 7.52: 31Outside London 7.65: 26Outside London 8: 20Outside London 8.03: 19Outside London 7.72: 18Outside London 9.48: 20Outside London 8.99: 21Outside London 9.5: 24Outside London 4.84: 43Outside London 4.38: 45Outside London 4.2: 43Outside London 4.36: 41Outside London 4.46: 43Outside London 4.45: 43Outside London 4.44: 40Outside London 4.44: 41Outside London 4.44: 40Outside London 4.39: 39Outside London 4.25: 36Outside London 4.8: 34Outside London 4.21: 36Outside London 4: 36Outside London 6.73: 38Outside London 6.43: 33Outside London 6.34: 32Outside London 6.33: 27Outside London 6.5: 25Outside London 6.9: 24Outside London 7.02: 23Outside London 7.5: 24Outside London 7.78: 25Outside London 7.46: 26Outside London 7.42: 26Outside London 8.62: 24Outside London 7.82: 25Outside London 7.56: 25Outside London 5.72: 33Outside London 5.97: 34Outside London 5.86: 33Outside London 5.89: 29Outside London 6.07: 27Outside London 6.37: 28Outside London 6.42: 27Outside London 6.7: 27Outside London 6.65: 28Outside London 6.46: 27Outside London 6.72: 25Outside London 7.39: 22Outside London 7.09: 23Outside London 6.95: 26Outside London 6.78: 33Outside London 6.78: 34Outside London 6.86: 34Outside London 6.21: 36Outside London 6.9: 32Outside London 7.14: 31Outside London 7.12: 31Outside London 7.72: 31Outside London 7.78: 31Outside London 7.39: 30Outside London 7.64: 29Outside London 8.72: 27Outside London 7.85: 28Outside London 7.75: 31Outside London 8.38: 37Outside London 8.6: 36Outside London 8.38: 34Outside London 8.32: 32Outside London 8.16: 31Outside London 8.58: 31Outside London 8.55: 29Outside London 8.6: 29Outside London 8.98: 28Outside London 8.74: 27Outside London 8.74: 25Outside London 10.74: 23Outside London 9.76: 23Outside London 9.02: 25Outside London 25.28: 7Outside London 16.96: 32Outside London 7.82: 27Outside London 7.63: 28Outside London 7.97: 28Outside London 7.69: 27Outside London 7.89: 26Outside London 8.32: 24Outside London 9.05: 22Outside London 8.92: 23Outside London 9.22: 24Outside London 9.2: 24Outside London 8.82: 25Outside London 9.85: 24Outside London 9.49: 26Outside London 9.21: 27Outside London 6.36: 28Outside London 6.91: 29Outside London 6.67: 30Outside London 6.43: 26Outside London 7.13: 24Outside London 8.1: 23Outside London 8.05: 22Outside London 8.76: 26Outside London 9.41: 27Outside London 8.93: 26Outside London 8.25: 26Outside London 9.83: 25Outside London 9.55: 26Outside London 8.8: 26Outside London 6.43: 28Outside London 6.73: 30Outside London 6.76: 28Outside London 6.64: 20Outside London 7.32: 19Outside London 7.8: 19Outside London 8.21: 19Outside London 9.36: 20Outside London 9.73: 23Outside London 9.03: 26Outside London 8.76: 26Outside London 9.77: 24Outside London 9.09: 24Outside London 8.86: 25Outside London 5.76: 37Outside London 5.49: 35Outside London 5.59: 37Outside London 5.46: 35Outside London 5.86: 34Outside London 6.17: 32Outside London 5.95: 33Outside London 5.9: 34Outside London 6.01: 35Outside London 6.16: 37Outside London 5.97: 35Outside London 6.71: 30Outside London 5.86: 31Outside London 5.58: 32Outside London 9.75: 28Outside London 11.16: 27Outside London 10.3: 28Outside London 10.11: 30Outside London 9.57: 24Outside London 11.13: 20Outside London 11.04: 22Outside London 10.25: 23Outside London 12.32: 27Outside London 11.58: 24Outside London 11.39: 24Outside London 7.93: 22Outside London 7.94: 23Outside London 8.5: 23Outside London 8.47: 21Outside London 7.53: 32Outside London 8.66: 30Outside London 8.3: 29Outside London 9.21: 31Outside London 8.52: 30Outside London 8.21: 26Outside London 8.14: 24Outside London 8.69: 25Outside London 9.33: 26Outside London 9.64: 27Outside London 10.82: 26Outside London 12.3: 26Outside London 13.38: 24Outside London 13.33: 31Outside London 13.04: 29Outside London 12.69: 25Outside London 12.46: 25Outside London 12.21: 25Outside London 12.08: 25Outside London 12.22: 21Outside London 6.66: 31Outside London 7.75: 24Outside London 7.04: 27Outside London 7.41: 26Outside London 7.55: 31Outside London 6.24: 32Outside London 6.56: 28Outside London 6.44: 29Outside London 6.61: 28Outside London 7.07: 22Outside London 7.48: 23Outside London 7.82: 21Outside London 8.85: 22Outside London 9.08: 21Outside London 9.5: 25Outside London 9.01: 22Outside London 9.29: 29Outside London 10.01: 27Outside London 9.82: 29Outside London 9.2: 30Outside London 5.81: 36Outside London 6.16: 28Outside London 6.19: 26Outside London 6.06: 29Outside London 6.65: 32Outside London 5.52: 30Outside London 5.84: 28Outside London 5.53: 27Outside London 5.45: 27Outside London 5.31: 27Outside London 5.72: 26Outside London 6: 24Outside London 6.05: 23Outside London 6.62: 24Outside London 6.68: 26Outside London 6.8: 26Outside London 6.97: 28Outside London 7.92: 24Outside London 7.39: 24Outside London 6.87: 25Outside London 5.85: 21Outside London 6.45: 25Outside London 6.81: 25Outside London 7.1: 24Outside London 6.89: 27Outside London 5.77: 27Outside London 6.03: 26Outside London 6.02: 26Outside London 6.31: 24Outside London 6.6: 22Outside London 6.68: 21Outside London 7.23: 19Outside London 7.64: 19Outside London 8.14: 20Outside London 8.5: 20Outside London 8.68: 23Outside London 9.15: 24Outside London 9.83: 22Outside London 9.71: 21Outside London 8.76: 24Outside London 7.88: 32Outside London 7.66: 26Outside London 7.81: 27Outside London 8.16: 28Outside London 7.73: 27Outside London 6.81: 25Outside London 7.13: 25Outside London 7.58: 24Outside London 7.42: 26Outside London 7.14: 24Outside London 7.76: 23Outside London 9.66: 22Outside London 9.48: 21Outside London 10.3: 23Outside London 9.74: 27Outside London 9.11: 27Outside London 9.81: 28Outside London 10.14: 25Outside London 10.62: 27Outside London 10.09: 27Outside London 5.33: 39Outside London 5.15: 39Outside London 5.57: 39Outside London 6.14: 40Outside London 5.66: 43Outside London 5.22: 36Outside London 5.42: 37Outside London 5.26: 36Outside London 4.95: 34Outside London 5.13: 33Outside London 5.22: 31Outside London 5.62: 33Outside London 5.57: 33Outside London 5.33: 34Outside London 5.79: 35Outside London 5.92: 34Outside London 5.3: 33Outside London 6.69: 33Outside London 6.88: 33Outside London 6.71: 34Outside London 4.15: 42Outside London 4.84: 43Outside London 4.77: 43Outside London 4.78: 44Outside London 5.16: 48Outside London 3.78: 48Outside London 4.18: 42Outside London 4.55: 42Outside London 4.98: 41Outside London 4.87: 40Outside London 5.3: 38Outside London 5.16: 40Outside London 5.2: 40Outside London 5.08: 39Outside London 6.1: 37Outside London 6.11: 37Outside London 6.34: 39Outside London 4.88: 30Outside London 5.17: 28Outside London 5.43: 28Outside London 5.71: 33Outside London 5.34: 34Outside London 4.93: 35Outside London 5.13: 32Outside London 4.91: 32Outside London 4.98: 31Outside London 5.14: 34Outside London 5.17: 34Outside London 5.05: 31Outside London 5.24: 32Outside London 5.51: 32Outside London 5.77: 33Outside London 5.74: 33Outside London 5.94: 31Outside London 6.87: 30Outside London 6.04: 32Outside London 5.83: 36Outside London 7.17: 33Outside London 7.66: 38Outside London 8.4: 41Outside London 8.6: 42Outside London 7.09: 41Outside London 6.31: 40Outside London 7.21: 42Outside London 7.19: 43Outside London 7.17: 40Outside London 7.4: 42Outside London 7.6: 41Outside London 8.36: 43Outside London 7.55: 41Outside London 7.97: 38Outside London 8.09: 37Outside London 8.47: 37Outside London 7.62: 37Outside London 10.43: 32Outside London 9.42: 35Outside London 9.08: 38Outside London 4.98: 28Outside London 5.42: 32Outside London 5.42: 12Outside London 5.44: 35Outside London 5.16: 36Outside London 4.64: 37Outside London 4.99: 36Outside London 4.88: 36Outside London 4.6: 38Outside London 4.4: 34Outside London 4.8: 33Outside London 5.11: 32Outside London 5.09: 29Outside London 5.4: 30Outside London 5.61: 31Outside London 5.48: 33Outside London 5.69: 33Outside London 6.17: 31Outside London 6.22: 31Outside London 6.2: 32Outside London 5.98: 24Outside London 6.15: 28Outside London 6.23: 33Outside London 7: 35Outside London 6.35: 35Outside London 5.74: 36Outside London 5.65: 35Outside London 5.59: 36Outside London 5.72: 37Outside London 5.6: 34Outside London 5.61: 36Outside London 6.28: 35Outside London 6.65: 32Outside London 6.28: 31Outside London 6.55: 32Outside London 6.96: 30Outside London 6.68: 31Outside London 7.85: 28Outside London 7.92: 29Outside London 7.4: 31Outside London 5.78: 23Outside London 6.07: 25Outside London 6.33: 27Outside London 6.36: 29Outside London 6.05: 26Outside London 5.74: 29Outside London 5.49: 27Outside London 5.64: 29Outside London 5.73: 27Outside London 5.49: 31Outside London 5.84: 30Outside London 5.92: 31Outside London 5.93: 25Outside London 6.6: 25Outside London 6.25: 29Outside London 6.5: 28Outside London 7.1: 30Outside London 7.56: 27Outside London 7.47: 28Outside London 7.07: 31Outside London 5.5: 32Outside London 6.26: 34Outside London 6.34: 34Outside London 6.45: 33Outside London 5.85: 36Outside London 5.7: 31Outside London 6.02: 30Outside London 5.76: 29Outside London 5.69: 27Outside London 5.26: 24Outside London 5.76: 24Outside London 6.32: 25Outside London 5.97: 25Outside London 6.49: 24Outside London 6.22: 24Outside London 6.8: 24Outside London 6.18: 26Outside London 7.18: 25Outside London 7.32: 26Outside London 6.43: 27Outside London 9.04: 21Outside London 9.53: 26Outside London 9.13: 27Outside London 10.08: 28Outside London 10.31: 30Outside London 9.08: 31Outside London 9.86: 30Outside London 9.69: 30Outside London 9.81: 31Outside London 8.68: 33Outside London 9.22: 31Outside London 9.44: 31Outside London 8.65: 27Outside London 9.87: 23Outside London 10.04: 26Outside London 9.37: 26Outside London 9.64: 25Outside London 10.41: 23Outside London 9.83: 24Outside London 9.83: 26Outside London 7.82: 13Outside London 8.06: 14Outside London 8.39: 15Outside London 8.83: 14Outside London 8.59: 16Outside London 7.69: 14Outside London 7.91: 14Outside London 8.04: 15Outside London 8.26: 13Outside London 7.96: 14Outside London 8.16: 15Outside London 8.95: 15Outside London 8.25: 19Outside London 9.16: 25Outside London 8.94: 25Outside London 8.4: 26Outside London 8.42: 27Outside London 9.28: 27Outside London 9.39: 28Outside London 9.29: 30Outside London 7.82: 25Outside London 8.12: 31Outside London 8.42: 30Outside London 9.3: 29Outside London 9.59: 30Outside London 7.83: 31Outside London 8.34: 30Outside London 8.26: 31Outside London 7.87: 30Outside London 8.05: 27Outside London 8: 30Outside London 8.09: 30Outside London 8.2: 25Outside London 8.01: 27Outside London 8.4: 30Outside London 8.47: 32Outside London 9.31: 32Outside London 9.66: 27Outside London 10.02: 29Outside London 8.82: 33Outside London 9.54: 28Outside London 10.88: 30Outside London 10.76: 31Outside London 11.15: 32Outside London 10.33: 30Outside London 9.57: 34Outside London 9.61: 33Outside London 9.04: 33Outside London 8.91: 32Outside London 8.92: 37Outside London 9.05: 33Outside London 9.54: 33Outside London 9.71: 32Outside London 10.08: 33Outside London 9.96: 34Outside London 10.45: 34Outside London 10.44: 30Outside London 10.91: 26Outside London 10.39: 27Outside London 9.79: 28Outside London 9.09: 28Outside London 9.54: 27Outside London 9.32: 30Outside London 9.18: 31Outside London 9.51: 33Outside London 8.3: 34Outside London 9.59: 34Outside London 9.61: 28Outside London 8.89: 28Outside London 9.75: 25Outside London 8.85: 26Outside London 9.78: 24Outside London 10.41: 23Outside London 10.34: 21Outside London 10.64: 22Outside London 10.28: 20Outside London 10.58: 19Outside London 11.17: 16Outside London 12.17: 19Outside London 11.34: 22Outside London 8.91: 26Outside London 9.2: 29Outside London 9.61: 29Outside London 9.49: 32Outside London 8.02: 34Outside London 7.51: 30Outside London 8.35: 28Outside London 8.52: 30Outside London 8.06: 29Outside 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8.92: 23Outside London 9.23: 21Outside London 8.73: 23Outside London 9.3: 23Outside London 9.81: 20Outside London 11.36: 18Outside London 10.66: 21Outside London 9.92: 24Outside London 7.57: 30Outside London 8.47: 34Outside London 6.95: 40Outside London 7.03: 35Outside London 7.45: 36Outside London 7.38: 36Outside London 7.18: 29Outside London 6.83: 29Outside London 7.34: 28Outside London 8.64: 27Outside London 8.58: 30Outside London 8.07: 34Outside London 8.27: 33Outside London 7.89: 32Outside London 9.61: 34Outside London 8.99: 34Outside London 7.86: 34Outside London 6.63: 49Outside London 6.77: 44Outside London 6.6: 43Outside London 6.9: 43Outside London 7.07: 41Outside London 6.95: 39Outside London 6.88: 37Outside London 8.01: 33Outside London 8.63: 31Outside London 9.2: 35Outside London 9.12: 35Outside London 8.9: 34Outside London 10.09: 32Outside London 9.85: 36Outside London 9.11: 38Outside London 7.93: 23Outside London 8.33: 25Outside London 8.41: 25Outside London 9.56: 25Outside London 8.98: 28Outside London 7.67: 29Outside London 7.89: 24Outside London 8.22: 26Outside London 8.54: 25Outside London 8.37: 23Outside London 8.56: 23Outside London 9.53: 24Outside London 9.89: 21Outside London 9.6: 23Outside London 11.16: 22Outside London 9.74: 25Outside London 10.23: 25Outside London 10.94: 24Outside London 11.34: 23Outside London 11.19: 20Outside London 8.62: 36Outside London 8.36: 40Outside London 8.36: 37Outside London 8.33: 39Outside London 8.53: 37Outside London 7.15: 38Outside London 8.26: 37Outside London 8.46: 38Outside London 8.81: 38Outside London 8.83: 33Outside London 9.14: 30Outside London 9.45: 29Outside London 10: 28Outside London 9.27: 26Outside London 10.33: 25Outside London 9.96: 24Outside London 10.63: 20Outside London 11.61: 18Outside London 11.6: 22Outside London 11.64: 25Outside London 8.39: 23Outside London 8.93: 26Outside London 8.63: 26Outside London 8.69: 26Outside London 8.74: 28Outside London 7.52: 26Outside London 7.71: 26Outside London 7.93: 28Outside London 7.68: 28Outside London 8.49: 26Outside London 8.31: 24Outside London 8.78: 25Outside London 9.4: 23Outside London 9.93: 22Outside London 10.44: 24Outside London 10.01: 24Outside London 9.52: 26Outside London 11.93: 22Outside London 11.85: 24Outside London 10.82: 24Outside London 6.14: 20Outside London 6.57: 23Outside London 6.65: 23Outside London 6.88: 21Outside London 6.85: 22Outside London 6.26: 24Outside London 6.52: 21Outside London 6.34: 21Outside London 6.46: 24Outside London 6.24: 23Outside London 6.76: 19Outside London 7.7: 19Outside London 8.51: 20Outside London 9.38: 18Outside London 9.49: 19Outside London 9.01: 20Outside London 9.42: 21Outside London 10.46: 21Outside London 10.4: 21Outside London 9.65: 21Outside London 6.78: 30Outside London 7: 29Outside London 7.16: 31Outside London 7.1: 31Outside London 7.03: 31Outside London 6.25: 32Outside London 6.58: 29Outside London 6.55: 27Outside London 6.11: 26Outside London 6.2: 25Outside London 6.54: 25Outside London 7.23: 25Outside London 7.94: 23Outside London 8.34: 23Outside London 8.55: 25Outside London 8.61: 26Outside London 8.71: 26Outside London 9.97: 28Outside London 9.29: 29Outside London 9.13: 33Outside London 6.5: 20Outside London 7.12: 22Outside London 6.93: 25Outside London 7.25: 22Outside London 6.9: 23Outside London 6.97: 24Outside London 7.2: 25Outside London 6.7: 23Outside London 7.49: 24Outside London 6.88: 19Outside London 7.52: 18Outside London 8.15: 22Outside London 9.3: 24Outside London 9.76: 26Outside London 10.83: 29Outside London 9.75: 27Outside London 10.11: 31Outside London 13.68: 32Outside London 10.88: 34Outside London 9.81: 37Outside London 6.8: 18Outside London 6.45: 20Outside London 6.87: 22Outside London 7.43: 23Outside London 7.29: 24Outside London 5.88: 25Outside London 7.77: 24Outside London 7.48: 27Outside London 7.09: 27Outside London 7.56: 25Outside London 7.21: 21Outside London 8.36: 20Outside London 9.32: 20Outside London 8.96: 22Outside London 9.51: 24Outside London 8.96: 25Outside London 8.9: 25Outside London 10.34: 24Outside London 9.92: 25Outside London 10.7: 29Outside London 6.91: 19Outside London 6.94: 22Outside London 7.22: 22Outside London 7.66: 24Outside London 7.65: 24Outside London 6.82: 24Outside London 7.35: 23Outside London 7.05: 20Outside London 6.9: 22Outside London 7.48: 19Outside London 7.99: 18Outside London 8.49: 18Outside London 9.43: 18Outside London 10.39: 20Outside London 11.2: 21Outside London 10.9: 21Outside London 10.14: 21Outside London 10.34: 19Outside London 10.9: 21Outside London 10.9: 23Outside London 6.73: 27Outside London 6.5: 28Outside London 6.65: 28Outside London 6.65: 27Outside London 6.65: 31Outside London 6.41: 28Outside London 6.54: 26Outside London 6.46: 27Outside London 6.63: 25Outside London 6.83: 25Outside London 6.72: 23Outside London 7.36: 21Outside London 7.92: 20Outside London 8.34: 22Outside London 8.8: 24Outside London 8.78: 24Outside London 8.46: 24Outside London 9.88: 23Outside London 8.84: 23Outside London 9: 24Outside London 8.1: 34Outside London 7.76: 35Outside London 8.32: 32Outside London 8.84: 27Outside London 9.72: 28Outside London 8.57: 28Outside London 9.32: 29Outside London 9.13: 30Outside London 8.39: 29Outside London 9.23: 27Outside London 9.48: 25Outside London 10.85: 25Outside London 11.34: 26Outside London 12.25: 25Outside London 12.73: 27Outside London 12.01: 28Outside London 12.95: 26Outside London 13.68: 25Outside London 13.54: 26Outside London 11.16: 27Outside London 6.89: 18Outside London 7.28: 18Outside London 7.15: 17Outside London 6.83: 16Outside London 7.37: 17Outside London 7.09: 15Outside London 6.58: 16Outside London 6.95: 19Outside London 7.07: 19Outside London 7.18: 16Outside London 7.45: 13Outside London 8.65: 17Outside London 9.45: 16Outside London 10.18: 21Outside London 10.16: 23Outside London 10.29: 21Outside London 10.48: 25Outside London 11.19: 23Outside London 10.99: 24Outside London 10.29: 23Outside London 6.21: 22Outside London 7.4: 27Outside London 7.14: 28Outside London 7.93: 29Outside London 7.95: 29Outside London 5.9: 26Outside London 6.24: 25Outside London 6.49: 25Outside London 6.09: 23Outside London 6.37: 23Outside London 7.36: 24Outside London 7.49: 22Outside London 7.98: 19Outside London 9.75: 19Outside London 10.03: 19Outside London 9.13: 20Outside London 8.74: 23Outside London 10.21: 19Outside London 10.35: 22Outside London 10.76: 26Outside London 6.49: 24Outside London 7.5: 24Outside London 7.06: 29Outside London 7.08: 28Outside London 7.6: 29Outside London 6.53: 29Outside London 7.62: 28Outside London 7.05: 26Outside London 7.12: 25Outside London 7.12: 25Outside London 7.97: 18Outside London 8.74: 19Outside London 8.56: 18Outside London 9.28: 20Outside London 8.88: 22Outside London 8.95: 21Outside London 9.81: 22Outside London 9.54: 22Outside London 10.56: 23Outside London 9.24: 25Outside London 7.27: 36Outside London 7.06: 39Outside London 7.24: 43Outside London 7.68: 43Outside London 6.97: 45Outside London 6: 41Outside London 6.13: 37Outside London 6.23: 36Outside London 6.03: 38Outside London 5.97: 35Outside London 6.33: 32Outside London 6.76: 29Outside London 7.17: 27Outside London 7.98: 29Outside London 8.42: 33Outside London 8.28: 35Outside London 8.35: 37Outside London 8.98: 33Outside London 8.88: 33Outside London 8.41: 34Outside London 7.61: 30Outside London 9.52: 34Outside London 8.46: 28Outside London 8.33: 29Outside London 9.07: 29Outside London 7.88: 30Outside London 8.71: 27Outside London 8.94: 26Outside London 9.43: 26Outside London 9.54: 24Outside London 10.16: 22Outside London 10.25: 21Outside London 10.1: 22Outside London 10.63: 21Outside London 11.89: 23Outside London 11.58: 21Outside London 11.38: 21Outside London 12.26: 21Outside London 12.24: 24Outside London 10.84: 26Outside London 7.16: 36Outside London 7.06: 33Outside London 6.89: 39Outside London 7.17: 36Outside London 7.21: 39Outside London 6.19: 34Outside London 7.17: 32Outside London 7.22: 31Outside London 7: 31Outside London 6.78: 30Outside London 7.4: 30Outside London 7.55: 30Outside London 8.28: 30Outside London 8.68: 30Outside London 8.91: 32Outside London 8.13: 33Outside London 8.01: 34Outside London 9.09: 32Outside London 7.83: 31Outside London 9.03: 31Outside London 9.69: 28Outside London 10.39: 28Outside London 9.99: 29Outside London 9.87: 35Outside London 10.96: 32Outside London 9.87: 30Outside London 11.81: 29Outside London 10.86: 27Outside London 10.17: 27Outside London 10.44: 22Outside London 10.77: 21Outside London 11: 22Outside London 11.51: 24Outside London 11.01: 26Outside London 10.94: 29Outside London 11.43: 34Outside London 11.25: 36Outside London 13.34: 34Outside London 12.61: 38Outside London 12.14: 39Outside London 7.02: 22Outside London 7.58: 24Outside London 7.51: 27Outside London 6.92: 30Outside London 7.16: 33Outside London 6.72: 36Outside London 7.01: 36Outside London 6.55: 34Outside London 6.17: 34Outside London 5.74: 35Outside London 6.5: 32Outside London 6.69: 32Outside London 6.54: 28Outside London 6.44: 28Outside London 7.7: 28Outside London 7.64: 27Outside London 7.25: 29Outside London 9.33: 27Outside London 7.02: 30Outside London 7.6: 30Outside London 6.31: 30Outside London 6.41: 34Outside London 6.81: 35Outside London 7.11: 39Outside London 6.67: 37Outside London 5.5: 38Outside London 6.29: 33Outside London 6.03: 33Outside London 6.13: 33Outside London 5.81: 31Outside London 6.27: 30Outside London 6.57: 29Outside London 6.61: 29Outside London 6.91: 29Outside London 6.98: 33Outside London 7.02: 28Outside London 7.64: 25Outside London 8.18: 26Outside London 7.93: 27Outside London 7.78: 28Outside London 7.51: 21Outside London 7.69: 22Outside London 7.48: 21Outside London 8.29: 24Outside London 7.33: 27Outside London 6.95: 32Outside London 7.24: 30Outside London 7.21: 32Outside London 6.91: 31Outside London 7.08: 33Outside London 7.61: 33Outside London 8.03: 25Outside London 8.69: 26Outside London 8.99: 27Outside London 9.47: 28Outside London 9.43: 30Outside London 8.7: 31Outside London 10.44: 26Outside London 9.46: 27Outside London 9.44: 25Outside London 7.32: 25Outside London 7: 26Outside London 6.88: 25Outside London 8.04: 33Outside London 7.76: 31Outside London 6.14: 27Outside London 6.87: 22Outside London 6.45: 21Outside London 6.87: 20Outside London 6.6: 22Outside London 7.82: 18Outside London 7.33: 21Outside London 7.77: 20Outside London 7.92: 20Outside London 9.42: 22Outside London 8.38: 20Outside London 8.13: 19Outside London 9.36: 20Outside London 9.67: 24Outside London 9.09: 26Outside London 7.09: 23Outside London 7.41: 22Outside London 7.37: 23Outside London 7.59: 23Outside London 7.55: 26Outside London 6.75: 25Outside London 7.15: 23Outside London 7.1: 20Outside London 7.18: 19Outside London 7.07: 19Outside London 7.16: 20Outside London 7.74: 19Outside London 8.21: 20Outside London 8.96: 20Outside London 9.54: 21Outside London 8.47: 22Outside London 8.71: 24Outside London 9.12: 22Outside London 8.96: 22Outside London 8.72: 25Outside London 8.15: 19Outside London 8.47: 27Outside London 7.98: 24Outside London 8.35: 24Outside London 8.32: 27Outside London 7.89: 26Outside London 8.49: 23Outside London 8.78: 25Outside London 8.35: 25Outside London 8.52: 23Outside London 9.87: 21Outside London 10.51: 22Outside London 10.61: 20Outside London 10.3: 21Outside London 10.27: 26Outside London 10.5: 31Outside London 10.33: 26Outside London 11.97: 21Outside London 12.36: 23Outside London 11.35: 23Outside London 7.43: 23Outside London 7.43: 22Outside London 7.49: 23Outside London 7.53: 25Outside London 7.42: 27Outside London 6.32: 24Outside London 7.25: 23Outside London 7.23: 24Outside London 7.23: 23Outside London 7.2: 21Outside London 7.39: 18Outside London 7.95: 18Outside London 8.68: 17Outside London 9.13: 17Outside London 9.85: 16Outside London 9.86: 16Outside London 8.59: 17Outside London 9.24: 16Outside London 9.55: 16Outside London 8.82: 18Outside London 7.59: 21Outside London 7.58: 24Outside London 7.43: 25Outside London 7.87: 21Outside London 7.65: 23Outside London 6.7: 21Outside London 7.24: 20Outside London 7.07: 21Outside London 7.31: 20Outside London 7.59: 20Outside London 7.49: 22Outside London 8.05: 21Outside London 8.65: 18Outside London 9.04: 20Outside London 9.13: 22Outside London 8.53: 23Outside London 9.04: 25Outside London 8.62: 25Outside London 9.12: 25Outside London 8.97: 23Outside London 6.87: 32Outside London 6.52: 31Outside London 6.66: 34Outside London 6.44: 30Outside London 6: 32Outside London 5.31: 35Outside London 5.71: 31Outside London 5.97: 34Outside London 6.12: 36Outside London 5.73: 29Outside London 5.68: 28Outside London 6.03: 23Outside London 6.63: 18Outside London 7.07: 20Outside London 7.31: 22Outside London 7.12: 23Outside London 7.14: 22Outside London 7.32: 22Outside London 7.4: 22Outside London 7.88: 25Outside London 7.55: 34Outside London 6.9: 32Outside London 7.76: 30Outside London 8.42: 26Outside London 7.2: 26Outside London 7.46: 23Outside London 7.57: 23Outside London 7.7: 22Outside London 8.6: 18Outside London 8.83: 17Outside London 9.91: 18Outside London 10.91: 18Outside London 10.64: 19Outside London 10.72: 16Outside London 10.58: 16Outside London 10.09: 17Outside London 10.66: 14Outside London 10.71: 15Outside London 9.92: 17Outside London 7.92: 17Outside London 7.32: 20Outside London 7.82: 21Outside London 8.11: 21Outside London 7.79: 21Outside London 7.17: 20Outside London 7.61: 21Outside London 7.29: 23Outside London 7.22: 22Outside London 6.9: 20Outside London 7.84: 17Outside London 8.1: 18Outside London 8.96: 18Outside London 8.91: 14Outside London 8.97: 15Outside London 8.97: 15Outside London 9.55: 15Outside London 10.87: 12Outside London 10.68: 13Outside London 9.98: 15Outside London 8.74: 20Outside London 9.93: 23Outside London 9.82: 22Outside London 9.9: 23Outside London 9.65: 27Outside London 8.54: 24Outside London 8.87: 25Outside London 8.88: 26Outside London 8.65: 26Outside London 8.5: 23Outside London 8.74: 23Outside London 10.04: 22Outside London 10.05: 24Outside London 10.31: 24Outside London 10.78: 23Outside London 10.5: 25Outside London 10.07: 25Outside London 11.9: 22Outside London 12.3: 24Outside London 10.73: 26Outside London 6.44: 25Outside London 7.01: 24Outside London 6.62: 25Outside London 7.2: 17Outside London 7.59: 18Outside London 6.59: 19Outside London 6.98: 21Outside London 7.45: 21Outside London 7.45: 21Outside London 7.25: 20Outside London 7.71: 21Outside London 8.76: 19Outside London 9.55: 18Outside London 10.18: 24Outside London 9.09: 24Outside London 9.35: 25Outside London 8.46: 23Outside London 9.27: 22Outside London 9.31: 24Outside London 9.84: 22