MetricsGraphics.js - JavaScript Library for Data Graphics and Layouts

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.

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Source: github.com

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>

2. HTML

<div id='fake_users1'></div>

3. JAVASCRIPT

//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'
})

4. OPTIONS

Axes

• 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

Graphic

• 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

Data

• data - the data object
• 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

Layout

• 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

Scatterplot

• 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

Histogram

• 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
• outer_padding_percentage
• padding_percentage
• predictor_accessor - the data element to map the predictor component to
• predictor_proportion