vue-charts

Installation

• Install from npm:

  npm install @reside-ic/vue-charts
  

• Import into your project and register components globally or locally:

  import {BarChartWithFilters} from "@reside-ic/vue-charts"
  
  // global
  Vue.component("bar-chart-with-filters", BarChartWithFilters)
  
  // or local
  new Vue({
    el: '#app',
    components: {
      BarChartWithFilters
    }
  })
  
  

• Include the following css file in your app:

  dist/css/style.min.css
  

Browser

To use the dynamic form component directly in the browser, just include dist/js/vue-charts.min.js on the page, after Vue and Chart.js:

<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.7.1/Chart.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/vue/dist/vue.js"></script>
<script type="text/javascript" src="node_modules/@reside-ic/vue-charts/dist/vue-charts.min.js"></script>

In this case the component will be automatically registered.

Components

BarChartWithErrors

A simple extension of the vue-chartjs component which includes error bars. See examples/basicbarchart.html.

BarChartWithFilters

A fancier bar chart that gives the user control over what is plotted. At least 2 dimensions for filtering the data must be provided.

Props

This component has 4 required props.

chartData

The first one is the data array itself. Array item fields must include

• a value field
• a field specifying what the value means
• a lower bound for the value
• an upper bound for the value
• at least 2 other dimensions

So this is valid data:

[
    {
        value: 0.1, indicator: "prev", e_l: 0.09, e_h: 0.11, age: "<5", sex: "1"
    },
    {
        value: 0.2, indicator: "prev", e_l: 0.19, e_h: 0.21, age: "<5", sex: "2"
    },
    {
        value: 0.1, indicator: "inc", e_l: 0.05, e_h: 0.15, age: "<5", sex: "1"
    },
    {
        value: 0.05, indicator: "inc", e_l: 0.01, e_h: 0.07, age: "<5", sex: "2"
    }
]

and so is this:

[
    {
        count: 10, metric: "prev", lower_bound: 9, upper_bound: 11, year: 2001, country: "AFG"
    },
    {
        count: 12, metric: "prev", lower_bound: 12, upper_bound: 13, year: 2002, country: "AFG"
    }
]

indicators

The indicators prop contains metadata about the data array. It specifies the names of the required fields, and which metrics to plot.

[{
        indicator: "prev", // id for this metric (for internal use)
        name: "Prevalence", // display name for this metric
        value_column: "value", // field containing the values
        indicator_column: "indicator", // field that specifies the meaning of the value
        indicator_value: "prev", // name of this metric
        error_low_column: "e_l", // field containing the lower bound
        error_high_column: "e_h", // field containing the upper bound
        format: "0.00", //format string which may allow formatFunction to format indicator values for display
        scale: 1, //scaling factor which formatFunction may use to adjust indicator values for display
        accuracy: null //optional accuracy value which formatFunction may use to round indicator values for display
},
{
        indicator: "inc",
        name: "Incidence",
        value_column: "value",
        indicator_column: "indicator",
        indicator_value: "inc",
        error_low_column: "e_l",
        error_high_column: "e_h",
        format: "0.00",
        scale: 1,
        accuracy
}]

filterConfig

This contains optional label text for the various filter sections, and an array of filters (must contain at least 2.)

{
    indicatorLabel: "Metric", // optional, defaults to "Indicator"
    xAxisLabel: "Compare across", // optional, defaults to "X Axis"
    disaggLabel: "Disaggregate by", // optional, defaults to "Disaggregate by"
    filterLabel: "Options", // optional, defaults to "Filters"
    filters: [
        {
            id: "age",
            label: "Age",
            options: [{id: "<5", label: "<5"}, {id: "5-10", label: "5-10"}],
            column_id: "age"
        },
        {
            id: "sex",
            label: "Sex",
            options: [{id: "1", label: "male"}, {id: "2", label: "female"}],
            column_id: "sex"
        }
    ]
}

selections

Initially selected values for the x axis, disaggregation, and any filters:

{   
    indicatorId: "prev", // must correspond to an indicator id from indicators
    xAxisId: "age", // must correspond to a filter id from filterConfig
    disaggregateById: "sex", // must correspond to a filter id from filterConfig
    selectedFilterOptions:  {
        sex: [{id: "1", label: "male"},{id: "2", label: "male"}]
        age: [{id: "<5", label: "<5"}]
    }
}

formatFunction

Optional function of type (value: string | number, indicator: BarchartIndicator) => string. If provided, this will be used to format the given indicator values for display on the barchart y-axis and tooltips. The tooltips can also show the ranges of the error bars by setting the optional prop showRangesInTooltips to true (this is false by default).

For a full example see examples/barchart.html.

xAxisConfig

Optional configuration specifying whether the x axis should be fixed (i.e. the user cannot select a different filter from the default to use for the x axis) and whether the x axis filter should be hidden so the user cannot edit the selected values. Both fixed and hideFilter default to false.

{
    fixed: true,
    hideFilter: false
}

disaggregateByConfig

Optional configuration specifying whether the 'disaggregate by' value should be fixed (i.e. the user cannot select a different filter from the default to use for disaggregation) and whether the disaggregate by filter should be hidden so the user cannot edit the selected values. Both fixed and hideFilter default to false.

{
    fixed: true,
    hideFilter: false
}

noDataMessage

Optional configuration specifying whether a message is displayed over the barchart when the current combination of filter selections have no data available for them. Takes the message to be displayed as a string. Set to null by default, with no message being displayed.

Development

• To run unit tests with jest: npm test
• To build distribution files: npm run build
• To publish to npm:
  • first iterate the version in package.json
  • then npm publish --access public