Election results chart
Updated 6 years ago to v3.1.0 by Flourish team
How to use this template
Election results chart
This template is ideal for visualising election results. You can show one overall result, or specific regions that can be selected from a dropdown.
Features
- Toggle parties in the legend to create custom "coalitions"
- Add historical data to compare the current results to a previous election
Data requirements
Each row after the header should be a region (eg. a state, constituency or just "nationwide"). There should be a column for the name of the region, and a column for each party in the election. In the historical data sheet you can add data for a previous election. This sheet follows the same format as the current results, make sure to use exactly the same region and party names, as this is being used to compare the results.
Tips
- You can specify custom colors to represent the right parties in the "Chart colors" box
- It's possible to translate the labels in this chart to your own language in the "Text and translation" box
- You can change the default region to show in "Dropdown" box, make sure your value is case sensitive
- You can also show other values than %, in "Label styles" and "Custom scale" boxes you can change the scale and the suffix
API information
This section documents API usage specific to this template, so for an introduction we suggest you refer to the generic API documentation instead.
template: @flourish/election-results-chart
version: 3
Template data
There are three different formats in which you can supply data to this template. The most convenient for you to use likely depends on the source of your data, as described below.
1. Array of arrays, and a bindings object
You can supply arrays of arrays to opts.data
, which might look
like:
{ data: { values_now: [ [ "Values_nowColumn1Value1", "Values_nowColumn2Value1", [ "Values_nowColumn1Value2", "Values_nowColumn2Value2", [ "Values_nowColumn1Value3", "Values_nowColumn2Value3", ... ], values_historical: [ [ "Values_historicalColumn1Value1", "Values_historicalColumn2Value1", [ "Values_historicalColumn1Value2", "Values_historicalColumn2Value2", [ "Values_historicalColumn1Value3", "Values_historicalColumn2Value3", ... ] } }
where each array of arrays represents the rows in a data sheet.
To tell the API how the values from each column should be
associated with the keys that the template is expecting, you must also supply
an object attached to opts.bindings
. (The meanings of the
keys in the bindings object are documented
below.) The minimal bindings you can
supply for this template are as shown in this example:
{ template: "@flourish/election-results-chart", version: "3", bindings: { values_now: { name: 0, // index of a column in your data }, values_historical: { name: 0, // index of a column in your data } }, data: { values_now: [ [ "Values_nowColumn1Value1", "Values_nowColumn2Value1", [ "Values_nowColumn1Value2", "Values_nowColumn2Value2", [ "Values_nowColumn1Value3", "Values_nowColumn2Value3", ... ], values_historical: [ [ "Values_historicalColumn1Value1", "Values_historicalColumn2Value1", [ "Values_historicalColumn1Value2", "Values_historicalColumn2Value2", [ "Values_historicalColumn1Value3", "Values_historicalColumn2Value3", ... ] } }
All possible bindings that you can supply are shown in this example:
{ template: "@flourish/election-results-chart", version: "3", bindings: { values_now: { name: 0, // index of a column in your data values: [1, 2, ...], // index(es) of column(s) in your data }, values_historical: { name: 0, // index of a column in your data values: [1, 2, ...], // index(es) of column(s) in your data } }, data: { values_now: [ [ "Values_nowColumn1Value1", "Values_nowColumn2Value1", [ "Values_nowColumn1Value2", "Values_nowColumn2Value2", [ "Values_nowColumn1Value3", "Values_nowColumn2Value3", ... ], values_historical: [ [ "Values_historicalColumn1Value1", "Values_historicalColumn2Value1", [ "Values_historicalColumn1Value2", "Values_historicalColumn2Value2", [ "Values_historicalColumn1Value3", "Values_historicalColumn2Value3", ... ] } }
2. Array of objects with arbitrary keys, and a bindings object
This format is most likely useful when you have data from an external source,
such as CSV data loaded from d3-dsv.
You should supply this attached to the opts.data
, which might look
like:
{ values_now: [ { "Values_nowHeader1": ..., "Values_nowHeader2": ..., ... }, { "Values_nowHeader1": ..., "Values_nowHeader2": ..., ... }, { "Values_nowHeader1": ..., "Values_nowHeader2": ..., ... }, ... ], values_historical: [ { "Values_historicalHeader1": ..., "Values_historicalHeader2": ..., ... }, { "Values_historicalHeader1": ..., "Values_historicalHeader2": ..., ... }, { "Values_historicalHeader1": ..., "Values_historicalHeader2": ..., ... }, ... ] }
... but with the keys being the column headers from your
source data instead. You must also supply an object attached to
opts.bindings
. The minimal bindings you can
supply for this template are as shown in this example:
{ template: "@flourish/election-results-chart", version: "3", bindings: { values_now: { name: "Values_nowHeader1", }, values_historical: { name: "Values_historicalHeader1", } }, data: { values_now: [ { "Values_nowHeader1": ..., "Values_nowHeader2": ..., ... }, { "Values_nowHeader1": ..., "Values_nowHeader2": ..., ... }, { "Values_nowHeader1": ..., "Values_nowHeader2": ..., ... }, ... ], values_historical: [ { "Values_historicalHeader1": ..., "Values_historicalHeader2": ..., ... }, { "Values_historicalHeader1": ..., "Values_historicalHeader2": ..., ... }, { "Values_historicalHeader1": ..., "Values_historicalHeader2": ..., ... }, ... ] } }
All possible bindings that you can supply are shown in this example:
{ template: "@flourish/election-results-chart", version: "3", bindings: { values_now: { name: "Values_nowHeader1", values: ["Values_nowHeader2", "Values_nowHeader3", ...], }, values_historical: { name: "Values_historicalHeader1", values: ["Values_historicalHeader2", "Values_historicalHeader3", ...], } }, data: { values_now: [ { "Values_nowHeader1": ..., "Values_nowHeader2": ..., ... }, { "Values_nowHeader1": ..., "Values_nowHeader2": ..., ... }, { "Values_nowHeader1": ..., "Values_nowHeader2": ..., ... }, ... ], values_historical: [ { "Values_historicalHeader1": ..., "Values_historicalHeader2": ..., ... }, { "Values_historicalHeader1": ..., "Values_historicalHeader2": ..., ... }, { "Values_historicalHeader1": ..., "Values_historicalHeader2": ..., ... }, ... ] } }
(As before, the keys containing "Header" would be replaced by column names from your data source.)
3. Array of objects with template-defined keys
There is an alternative format you can use, which is likely to be easier to
use if your data is not from a spreadsheet source. With this alternative format
you supply your data to the template as
an array of objects, attached to opts.data
, where the keys must
be those used by the template, as documented below. In this case
there is no need to supply a bindings object, since the key names are already
those expected by the template. The required properties in the data
object are as follows (scroll down for a
description of what each property is):
{ template: "@flourish/election-results-chart", version: "3", data: { values_now: [ { name: ..., values: [...] }, ... ], values_historical: [ { name: ..., values: [...] }, ... ] }, ... }
And the full list of all possible properties is as follows:
{ template: "@flourish/election-results-chart", version: "3", data: { values_now: [ { name: ..., values: [...] }, ... ], values_historical: [ { name: ..., values: [...] }, ... ] }, ... }
Meanings of the template data keys:
- values_now.name: The name of the data series (eg. voting district, data mode)
- values_now.values: One column per party, with party names as header rows.
- values_historical.name: The name of the data series (eg. voting district, data mode)
- values_historical.values: One column per party, with party names as header rows.
Template settings
Options for opts.state
.
Chart styles
color.palette colors
Palette.
color.extend boolean
Auto-extend. Automatically generate additional colours when needed to avoid the palette colours being used more than once. Added colours are based on the average lightness and chroma values of the palette. This works best if the palette’s colours do not have very high or low saturation.
color.advanced boolean
Fine tune. Fine tune how additional colours are added to the palette.
color.hue_rotation_angle number
Hue rotation for added colours. Angle, in degrees in HCL colourspace, between one generated colour and the next. The default value, ~360/(Golden ratio), ensures adjacent hues are not too similar. Max: 360
color.custom_palette text
Custom overrides. Type the name of the entity whose colour you want to set, a colon and then a colour (using a name, hex-code or rgb declaration). Multiple colours can be set using multiple lines. For example:
Party 1: red
Party 2: #4455AA
Party 3: rgb(30,168,26)
use_custom_scale boolean
Use custom maximum value for scale. On default, will use the sum of all data points as the max value. Enable this setting to use a custom value
custom_scale_max number
Maximum value for scale. This will set the maximum value of the scale. Eg. the total amount of seats to be won in an election
Annotation
middle_line_position number
Position. in % Max: 100
middle_line_content string
Text.
middle_line_text_color color
Colour.
middle_line_dashoffset string
Dash width and offset. eg. 2,2
middle_line_width number
Thickness.
middle_line_color color
Colour.
Label styles
label_font_size number
Text size.
label_font_color color
Text colour.
label_format.prefix string
Prefix. Text to place in front of number
label_format.suffix string
Suffix. Text to place after number
label_format.n_dec number
Decimal places. Use negative integers to round to positive powers of ten (eg -2 rounds to the nearest 100) Min: -10 Max: 10
label_format.strip_zeros boolean
Remove trailing zeros.
label_format.strip_separator boolean
Hide thousands separator below 10,000. Turn off if you want four-digit numbers to include a separator, e.g. “1,234” rather than “1234”.
label_format.transform_labels boolean
Multiply/divide values.
label_format.transform string
Allowed values:
- multiply (Multiply by)
- divide (Divide by)
- exponentiate (×10 to the power of)
label_format.multiply_divide_constant number
label_format.exponentiate_constant number
label_suffix string
Historical label suffix.
Interface
hide_dropdown boolean
Hide dropdown.
hide_empty_rows boolean
Hide empty rows in dropdown.
current_id string
Default value of dropdown.
margin_top number
Top.
margin_right number
Right.
margin_bottom number
Bottom.
margin_left number
Left.
hide_legend boolean
Hide legend.
Text and translation
dropdown_label string
Text left of dropdown.
instruction_label string
Instruction text above legend.
placeholder_text string
No data placeholder text. Placeholder text if there is no data
subtitle_text string
Text below results.
dropdown_translations text
Dropdown translations. Write every translation a new line in this format original_word:translation
Header
header.title string
Title.
header.subtitle string
Subtitle.
header.color color
Color.
header.align string
Alignment. Allowed values:
header.margin number
Margin.
header.margin_advanced boolean
Advanced margin settings.
header.margin_top number
Top.
header.margin_right number
Right.
header.margin_bottom number
Bottom.
header.margin_left number
Left.
Footer
footer.source_name string
Source name.
footer.source_url string
Source url.
footer.multiple_sources boolean
Multiple sources.
footer.source_name_2 string
Source name.
footer.source_url_2 string
Source url.
footer.source_name_3 string
Source name.
footer.source_url_3 string
Source url.
footer.source_label string
Source label.
footer.note string
Note.
footer.size number
Size.
footer.color color
Color.
footer.align string
Alignment. Allowed values:
footer.margin number
Overall.
footer.margin_top number
Top.
footer.margin_right number
Right.
footer.margin_bottom number
Bottom.
footer.margin_left number
Left.
footer.margin_advanced boolean
Advanced.
Number formatting
localization.input_decimal_separator string
Decimal separator in data sheet. Used for interpreting your data. Only change if data is not displaying on the chart as expected. Allowed values:
localization.output_separators string
Number format to display. How the numbers should appear on chart labels Allowed values: