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https://github.com/dikshant441/manufac-analytics-frontend-task

This project involves performing analytics on the Indian Agriculture dataset, provided by the National Data and Analytics Platform, NITI Aayog. The primary objective is to analyze the dataset and display the results in table format.
https://github.com/dikshant441/manufac-analytics-frontend-task

css github mantine-v7 reactjs typescript vite-min-template yarn-packages

Last synced: 15 days ago
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This project involves performing analytics on the Indian Agriculture dataset, provided by the National Data and Analytics Platform, NITI Aayog. The primary objective is to analyze the dataset and display the results in table format.

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# Manufac Analytics - SDE Assignment - Frontend Data Analysis Task (v4)

> Frontend-> React JS( vite-min-template, yarn ), Typescrit, Mantine v7, CSS

> Data -> Indian Agriculture dataset

## Overview
1. ##### This project is a frontend application built using TypeScript, Vite, and Mantine to analyze and display data from the Indian Agriculture dataset. The application features two main tables:
2. ##### Crop Production Table: Displays the crop with maximum and minimum production for each year.
3. ##### Average Yield and Area Table: Shows the average yield and cultivation area for each crop from 1950 to 2020.

4. ##### Screenshorts : "Both tables have many rows, so I've included screenshots of the first and last rows of each table."

![Screenshot (133)](https://github.com/user-attachments/assets/c4d9bae7-2aa5-4eb8-b786-f929802f4deb)
![Screenshot (134)](https://github.com/user-attachments/assets/70239bb0-2305-44b2-ae0c-de1c711b6093)
![Screenshot (135)](https://github.com/user-attachments/assets/8b1e46a5-50e5-46ab-8fe3-72e41fb1168d)

## Instructions on How to Run/Start the Project on a Local Server
1. #### clone the repo using this command
```bash
git clone https://github.com/Dikshant441/Manufac-Analytics-Frontend-Task.git
```
2. #### Install yarn dependencies
```bash
yarn install
```
3. #### Start the development server:
```bash
yarn dev or yarn run dev
```
4. #### Open your browser and navigate to:
```bash
http://localhost:5173
```
## For any queries related to the project, contact at [email protected]