@nteract/data-explorer
Version:
Transform for data resource JSON
52 lines (51 loc) • 3.03 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.controlHelpText = exports.chartHelpText = void 0;
exports.chartHelpText = {
line: "Line and stacked area charts for time series data where each row is a point and columns are data to be plotted.",
bar: "Bar charts to compare individual and aggregate amounts.",
scatter: "Scatterplot for comparing correlation between x and y values.",
grid: "A table of data.",
network: "Force-directed, adjacency matrix, arc diagram and sankey network visualization suitable for data that is an edge list where one dimension represents source and another dimension represents target.",
summary: "Distribution plots such as boxplots and violin plots to compare.",
hexbin: "Shows aggregate distribution of larger datasets across x and y metrics using hexbin, heatmap or contour plots.",
parallel: "Parallel coordinates for comparing and filtering across different values in the dataset.",
hierarchy: "Nest data by categorical values using treemap, dendrogram, sunburst or partition.",
};
const hexScatterX = "Plot this metric along the X axis";
exports.controlHelpText = {
metric1: {
default: "Plot this metric",
scatter: hexScatterX,
hexbin: hexScatterX,
},
metric2: {
default: "Plot this metric along the Y axis",
},
metric3: {
default: "Size the width of bars (Marimekko style) based on this metric",
scatter: "Size the radius of points based on this metric",
},
metric4: "Error bars according to this value",
dim1: {
default: "Color items by this dimension",
summary: "Group items into this category",
network: "Use this dimension to determine the source node",
},
dim2: {
default: "Label prominent datapoints using this dimension",
network: "Use this dimension to determine the target node",
},
dim3: {
default: "Split contours into separate groups based on this dimension",
},
networkType: "Represent network as a force-directed network (good for social networks) or as a sankey diagram (good for flow networks)",
hierarchyType: "Represent your hierarchy as a tree (good for taxonomies) or a treemap (good for volumes) or partition (also good for volume where category volume is important)",
timeseriesSort: "Sort line chart time series by its array position or by a specific metric or time",
lineType: "Represent your data using a line chart, stacked area chart or ranked area chart",
areaType: "Represent as a heatmap, hexbin or contour plot",
lineDimensions: "Only plot the selected dimensions (or all if none are selected)",
trendLine: "Select the kind of trend line you want to display on the chart",
barGrouping: "Choose between a clustered or a stacked bar chart when there are multiple pieces in the same category",
marginalGraphics: "Choose the kind of marginal summary you want to see for summarizing density along the axes",
};