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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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IsaacMwendwa/coordination-of-multiple-viz

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coordination-of-multiple-viz

Introduction

This repository contains the code for a dashboard of coordinated, interactive visualizations, implemented in D3.js. I chose a grocery-store-survey dataset for this project. The visualization graphs used in this dashboard are a histogram, a heatmap, a density plot, and a scatter plot. The dataset used can be found at DataViz Datasets

Table of Contents

Installation

  1. Navigate to the directory you want to clone this repo to
  2. Clone this repo to your local machine using:
      git clone https://github.com/IsaacMwendwa/coordination-of-multiple-viz
    
  3. No installation of packages is needed, as I directly link to the hosted D3.js script

Usage

Ensure you have Internet connectivity, and double-click the index.html file to open it on a browser, so as to view the visualizations

Contributions

Contributions are welcome using pull requests. To contribute, follow these steps:

  1. Fork this repository.
  2. Create a branch: git checkout -b <branch_name>
  3. Make your changes to relevant file(s)
  4. Check status of your commits: git status
  5. Add and commit file(s) to the repo using: git add <file(s)> git commit -m "<message>"
  6. Push repo to Github: git push origin <branch_name
  7. Create the pull request. See the GitHub documentation on creating a pull request.

Bug/Feature Request

If you find a bug (the website couldn't handle the query and/or gave undesired results), kindly open an issue here by including your search query and the expected result.

If you'd like to request a new function, feel free to do so by opening an issue here. Please include sample queries and their corresponding results.

Authors

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See also the list of Contributors who participated in this project.

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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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