DC.jl Documentation

# CrossfilterCharts.dc — Function.

dc(df::DataFrame)

Construct a DC.js visualization based on the columns in the given DataFrame. This is the easiest and most straightforward way to use DC.jl.

# CrossfilterCharts.rowchart — Function.

rowchart

Infer construction of a DC rowchart based on the given group.

# CrossfilterCharts.barchart — Function.

barchart

Infer construction of a DC barchart based on the given group.

# CrossfilterCharts.piechart — Function.

piechart

Infer construction of a DC piechart based on the given group.

# CrossfilterCharts.linechart — Function.

linechart

Infer construction of a DC linechart based on the given group.

# CrossfilterCharts.datacountwidget — Function.

datacountwidget

Construct a DC DataCountWidget.

# CrossfilterCharts.datatablewidget — Function.

datatablewidget

Construct a DC DataTableWidget.

# CrossfilterCharts.add_chart! — Function.

add_chart!

Append the DCChart to the list of charts in the DCOut object.

# CrossfilterCharts.add_widget! — Function.

add_widget!

Append the DCWidget to the list of widgets in the DCOut object.

# CrossfilterCharts.add_group! — Function.

add_group!

Append the Group to the list of groups in the DCOut object.

# CrossfilterCharts.add_datacountwidget! — Function.

add_datacountwidget!

Construct and append a Data Count Widget to the DCOut object.

# CrossfilterCharts.add_datatablewidget! — Function.

add_datatablewidget!

Construct and append a Data Table Widget to the DCOut object. Requires a previously constructed dimension for the first column.

# CrossfilterCharts.quick_add! — Function.

quick_add!

A utility function for quickly building a chart and adding it. Works with linechart, barchart, rowchart, piechart. Requires previously a constructed group.

quick_add!

Quickly build a chart using the group constructed from column. If multiple groups are found, an error is thrown unless use_first is set, in which case the first group found is used.

quick_add!

Quickly build a chart using the group with the given name.

# CrossfilterCharts.clear_charts! — Function.

clear_charts!

Remove all charts from the DCOut object.

# CrossfilterCharts.randomize_ids! — Function.

randomize_ids!

Randomly re-initialize all dcout random ids. These are used when exporting to HTML to prevent charts from referencing one another across IJulia cells.

# CrossfilterCharts.reduce_count — Function.

reduce_count

A reduction for a Group that is simply reduceCount()

# CrossfilterCharts.reduce_sum — Function.

reduce_sum

A reduction for a Group that sums the values.

# CrossfilterCharts.reduce_master — Function.

reduce_sum

A master reduction which sums values from all provided columns and tallies a count. Useful for making more complex charts like bubble charts.

# CrossfilterCharts.can_infer_chart — Function.

can_infer_chart(arr::AbstractDataArray)

Whether chart inference is supported for the given array type.

# CrossfilterCharts.infer_dimension — Function.

infer_dimension

Constructs a Dimension suitable for the type in arr.

# CrossfilterCharts.infer_group — Function.

infer_group

Infer construction of a group based on the array datatype.

# CrossfilterCharts.infer_chart — Function.

infer_chart(arr::AbstractDataArray, group::Group)

Constructs a Chart suitable for the type in arr.

# CrossfilterCharts.infer_dimensions! — Function.

infer_dimensions!

Infer a dimension for each column in the DCOut DataFrame

# CrossfilterCharts.infer_groups! — Function.

infer_groups!

Infer a group for each dimension in the DCOut DataFrame

Index