Klempoken Analysis

Klempoken Analysis is a project aimed at plotting, analyzing, and predicting sales trend for Klempoken MSMEs. This repository provides tools for data preprocessing, analysis, visualization, and forecasting to help Klempoken MSMEs make informed decisions.

Features

• Data cleanning: handles missing values, type casting, and parsing.
• Visualization: Generate meaningful plots for better insight.
• Forecasting Model: Implement a time series forecasting technique (Prophet by Meta)

Requirements

This program built using python or rather jupyter notebook (version 3.11.7), with several libraries and tools, such as:

• Pandas for data manipulation.
• Matplotlib and Seaborn for data visualization.
• Prophet for time series forecasting.

Setup

1. Clone the repository

git clone https://github.com/bryanfks-dev/Klempoken-Analysis
cd klempoken-analysis

2. Set up a virtual environment (Optional)

python3 -m venv venv

3. Activate the virtual environment (Optional)

# On MacOS / Linux:
source venv/bin/activate

# On Windows:
.\venv\Scripts\activate

4. Install the required depedencies

pip install -r requirements.txt

Usage

To run the analysis program:

jupyter execute plot_analysis.ipynb

To run the forecast program:

jupyter execute forecast.ipynb