The Python library to create stand-alone and interactive d3 charts.
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Updated
Sep 8, 2024 - Jupyter Notebook
The Python library to create stand-alone and interactive d3 charts.
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A chart is a graphical representation of data, in which "the data is represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart". A chart can represent tabular numeric data, functions or some kinds of qualitative structure and provides different info.
This repo contains the code for a dashboard of coordinated, interactive visualizations, implemented in D3.js. I chose a grocery-store-survey dataset for this project
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