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JavaScript Library for Data Graphics and Layouts
This jquery plugin MetricsGraphics.js is a library optimized for visualizing and laying out time-series data. At under 50KB (minified), it provides a simple way to produce common types of graphics in a principled, consistent and responsive way. The library currently supports line charts, scatterplots and histograms as well as features like rug plots and basic linear regression.
1. INCLUDE CSS AND JS FILES
<link href='css/metricsgraphics.css' rel='stylesheet' type='text/css' id='light'> <script src='https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js'></script> <script src='https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js' charset='utf-8'></script> <script src='https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js'></script> <script src='js/metricsgraphics.min.js'></script>
<div id='fake_users1'></div>
//add a line chart data_graphic( title: "Line Chart", description: "This is a simple line chart. You can remove the area portion by adding <i>area: false</i> to the arguments list.", data: data, width: 300, height: 200, right: 20, baselines: [value:160000000, label:'a baseline'], target: '#fake_users1', x_accessor: 'date', y_accessor: 'value' )
inflator – a multiplier for inflating max_x and max_y
max_x – the maximum x-value
max_y – the maximum y-value
min_x – the minimum x-value
min_y – the minimum y-value
show_years – determines whether to show years along the x-axis
small_text – coerces small text regardless of graphic size
xax_count – the number of x-axis ticks
xax_format – a function that formats the x-axis’ labels
x_label – the label to show below the x-axis
xax_tick_length – the x-axis’ tick length in pixels
xax_units – a prefix symbol to be shown alongside the x axis’ labels
yax_count – the number of y-axis ticks
yax_tick_length – the y-axis’ tick length in pixels
y_label – the label to show beside the y-axis
y_scale_type – the y-axis scale type
animate_on_load – determines whether lines are transitioned on first-load
area – determines whether to fill the area below the line
baselines – horizontal lines that indicate, say, goals.
chart_type – line, histogram, point, missing-data
custom_line_color_map – maps an arbitrary set of lines to colors
decimals – the number of decimals to show in a rollover
error – does the graphic have an error that we want to communicate to users
format – the format of the data object (count or percentage)
interpolate – the interpolation function to use for rendering lines
legend – an array of literals used to label lines
legend_target – the DOM element to insert the legend in
linked – used to link multiple graphics together
list – automatically maps the data to x and y accessors
markers – vertical lines that indicate, say, milestones
max_data_size – for use with custom_line_color_map
point_size – the radius of the dot that appears over an active data point
rollover_callback – custom rollover function
show_confidence_band – determines whether to show a confidence band
show_rollover_text – should we show text for a data point on rollover
target – the DOM element to insert the graphic in
transition_on_update – gracefully transitions the lines on data change
x_rug – show a rug plot along the x axis
y_rug – show a rug plot along the y axis
missing_is_zero – should missing observations be set to zeros
x_accessor – the data element that’s the x-accessor
y_accessor – the data element that’s the y-accessor
buffer – the padding around the graphic
bottom – the size of the bottom margin
height – the graphic’s height
left – the size of the left margin
right – the size of the right margin
small_height_threshold – maximum height for a small graphic
small_width_threshold – maximum width for a small graphic
top – the size of the top margin
width – the graphic’s width
color_accessor – the data element to use to map points to colors
color_range – the range used to color different groups of points
color_type – specifies whether the color scale is quantitative or qualitative
point_size – the radius of the dots in the scatterplot
size_accessor – should point sizes be mapped to data
size_range – the range of point sizes
lowess – specifies whether to show a lowess line of best-fit
ls – specifies whether to show a least-squares line of best-fit
bar_margin – the margin between bars
binned – specifies whether the histogram data is already binned
bins – the number of bins to use
Barplot (work-in-progress)
bar_height – bar height in pixels
baseline_accessor – the data element to map the baseline component to
binned – determines whether the data is already binned
dodge_accessor – the data element to map the dodge component to
predictor_accessor – the data element to map the predictor component to
