Flask Analytics Dashboard API

Overview

This project is a Flask-based API designed to serve analytics data for a dashboard. It processes login and check-in/check-out data, calculates leave statistics by department, and aggregates login frequency by day of the week. The API can be easily connected to a front-end application for real-time data visualization.

Features

• Check-ins and Check-outs: Provides real-time check-in and check-out statistics aggregated by hour.
• Department Leave Counts: Returns the total number of leave days taken by each department.
• Login Frequency: Aggregates and displays the frequency of logins per day of the week.
• Front-End Integration: Serves an HTML page to visualize data through JavaScript libraries (e.g., Plotly).

Technology Stack

• Backend: Flask
• Data Processing: Pandas
• Frontend: HTML, JavaScript (with Plotly for visualizations)
• Database: MongoDB (not included in the project, but implied)

Installation

To set up the project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/JM-JamalMustafa/Analytics_Dashboard.git
   cd Analytics_Dashboard