PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)

In this project I am Cleaning, Analysing and creating Visualizations to make data easily accessible of ease use.

Python wrapper for the Highcharts Core JavaScript library

🍔 Data Engineering🫑 covering 🍅 everything 🍏 from data 🍊 ingestion to 🦁 processing 🐯 storage and 🐲 orchestration 🐳 Ideal aspiring 🌼 data engineers 🐝backend developers 🦆 and data 🐻‍❄️ enthusiasts 🐧 looking to build 🐢 production 🦋 ready data 🏵 systems Data 🚋 validation 🚞 quality checks 🚁 and automated ✈ testing 🚟 pipelines 🚂

Python wrapper for the Highcharts Stock data visualization library.

Data visualization charts made mostly with Python, matplotlib, pandas, and numpy, and some scipy, plotly, seaborn, holoviews bokeh, streamlit, and R. Dataviz on Twitter. #30DayChartChallenge

Python wrapper for the Highcharts Maps data visualization library.

An automated pipeline that uses the YouTube Data API to extract video data based on specific keywords, storing the most-viewed videos in GitHub for trend analysis and actionable insights.

Application for cloning and exploring Git repos and local directories. Browse repos, visualize directories, preview code, generate AI explanations, and analyze file sizes.

All my learnings from "Data Visualization with Python" course offered by "IBM" on coursera are reflected here.

Data Visualization using Python

Application of Python and its useful packages/libraries/modules/functions for performing efficient data analytics and data visualization.

This repo contains my Week 3 Data Analyst Internship project at Logic Stack. The project focuses on supply chain analytics using Python (Pandas) for data cleaning, exploratory data analysis (EDA) & visualizations, along with an interactive Power BI dashboard to analyze shipment performance, delivery trends, vendor efficiency & logistics insights.

"Hands on EDA" GitHub repo: Your ultimate guide to Exploratory Data Analysis (EDA) best practices, inspired by "Hands-On EDA with Python" book. Dive into curated code snippets and Jupyter notebooks for mastering EDA with Python. Perfect for all skill levels!

Understanding User Engagement Patterns and Perform Churn Analysis

Interactive F1 Data Visualization app. Built using Python, Streamlit, and Pandas. Deployed via Streamlit Cloud to provide live racing insights 👇.

Electric Vehicle sales forecasting and insights in India (2014–2030) using Python, Machine Learning, Tableau, and Power BI dashboard for impactful visualizations and data-driven decisions.

Heriot Watt University Edinburgh Data Science Life Cycle Courseworks, Labs and Practice Tests of 2025

"Exploratory Data Analysis and Machine Learning on the Titanic dataset to uncover survival patterns and build predictive models."

This repository demonstrates how to build a clean, executive-friendly scatter plot using Matplotlib, focused on economic impact vs time