Dashboard for Data Analysis

Project Overview

This project is a data analysis dashboard designed to visualize JSON data using bar graphs, pie charts, and line charts. The dashboard provides an intuitive and interactive way to understand and explore the data.

Features

• Bar Graphs: Visualize categorical data to compare different groups.
• Pie Charts: Display data as a part of a whole.
• Line Charts: Track changes over intervals of time or continuous data.

Technologies Used

• Frontend: React.js
• Chart Library: Chart.js
• Backend: Node.js
• Data Format: JSON

Installation

Prerequisites

• Node.js (for a Node.js-based backend)

Steps

1. Clone the repository

   git clone https://github.com/HarshP2109/DataAnalysisCharts.git
   cd DataAnalysisCharts

2. Install dependencies

   npm install

3. Start the application

   npm run start

4. Open the dashboard Open your web browser and navigate to http://localhost:3000 (or the appropriate port for your setup).

Usage

1. Select Visualization Type: Choose the type of chart you want to display (bar graph, pie chart, or line chart).

2. Configure Visualization: Use the available options to configure the chart (e.g., select the data fields, set labels, customize colors).

3. Analyze Data: Interact with the charts to explore and analyze the data.

Sample Data

Provide a sample JSON file to illustrate the expected format:

[
        {
            "end_year": 2030,
            "intensity": 9,
            "sector": "Retail",
            "topic": "transport",
            "insight": "Planes and ships hampering road transport's climate efforts",
            "url": "http://www.transportenvironment.org/news/planes-and-ships-hampering-road-transport’s-climate-efforts",
            "region": "",
            "start_year": "",
            "impact": "",
            "added": "January, 07 2017 01:23:39",
            "published": "January, 05 2017 00:00:00",
            "country": "",
            "relevance": 3,
            "pestle": "Industries",
            "source": "Transport Environment",
            "title": "Land transport is expected to consume 43 Mtoe less per year in 2030 than it did in 2010.",
            "likelihood": 3
        },
        {
            "end_year": 2030,
            "intensity": 12,
            "sector": "Aerospace & defence",
            "topic": "oil",
            "insight": "Planes and ships hampering road transport's climate efforts",
            "url": "http://www.transportenvironment.org/news/planes-and-ships-hampering-road-transport’s-climate-efforts",
            "region": "",
            "start_year": "",
            "impact": "",
            "added": "January, 07 2017 01:23:39",
            "published": "January, 05 2017 00:00:00",
            "country": "",
            "relevance": 3,
            "pestle": "Economic",
            "source": "Transport Environment",
            "title": "Growth in emissions from shipping and aviation will add 19 million tonnes of oil equivalent (Mtoe) in emissions between 2010 and 2030.",
            "likelihood": 4
        }
]

Contributing

Contributions are welcome! Please fork the repository and submit a pull request. Planning to make a platform for data analyst similar to it.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License. See the LICENSE file for details.