https://github.com/daviddprtma/wine-analytics-taipy
Welcome to Wine French Analytics Dashboard🤖, a demonstration wine analytics project to showcase the distribution of the wine across the French nation.
https://github.com/daviddprtma/wine-analytics-taipy
python3 taipy wine-analysis
Last synced: 4 months ago
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Welcome to Wine French Analytics Dashboard🤖, a demonstration wine analytics project to showcase the distribution of the wine across the French nation.
- Host: GitHub
- URL: https://github.com/daviddprtma/wine-analytics-taipy
- Owner: daviddprtma
- Created: 2025-01-05T12:34:23.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-01-06T04:51:17.000Z (5 months ago)
- Last Synced: 2025-02-04T18:14:07.188Z (4 months ago)
- Topics: python3, taipy, wine-analysis
- Language: Python
- Homepage:
- Size: 2.48 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Wine Analytics Taipy
A demonstration for wine analytics across French regions with the interactive simple GUI dashboard🤩
## About The Project
Why Wine Analytics Taipyâś…?
Welcome to Wine French Analytics Dashboard🤖, a demonstration wine analytics project to showcase the distribution of the wine across the French nation.
This dashboard allows you to explore wine production data for various French wine from regions, providing insights into production statistics, geographical distribution, and many more.
## Features⬇️
Multi-Page Dashboard: Navigate through different pages to explore diverse aspects of wine production data.
Region-Based Analysis: Analyze wine production data by region, including breakdowns for red, white, and rose wines.
Geographical Mapping: Visualize wine production on a map, with color-coded markers representing different wine types.
Dynamic Data Updates: The dashboard dynamically updates data based on the selected year and area type.
### Built With
- [Python](https://www.python.org/)
- [Taipy](https://taipy.io/)
- [Pandas](https://pandas.pydata.org/)
- [Geopandas](https://geopandas.org/en/stable/)
## Getting Started
Before to use this project, follow all the steps below.
### Prerequisites
Make sure you have python version 3.10+ by typing in your terminal
```sh
python --version
```
### Installation
1. Clone this repository
```sh
git clone https://github.com/daviddprtma/wine-analytics-taipy.git
```
2. Ensure you have the required dependencies installed. You can install them using the following: (Before do pip install, make sure that you have been in the correct folder which is in the src folder).
```sh
pip install -r requirements.txt
```
3 Run your project in your terminal.
```sh
taipy run main.py
```
#### Wine production by year and region
You can download the CSV data from [Kaggle](https://www.kaggle.com/datasets/ericnarro/volumes-wine-production-aoc-2009-2019)
# Video Presentation
For the video presentation, see it in below⬇️
[](https://www.youtube.com/watch?v=M14CXWA6dZc)