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
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.
🍔 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 🚂
Application for cloning and exploring Git repos and local directories. Browse repos, visualize directories, preview code, generate AI explanations, and analyze file sizes.
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.
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.
"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!
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.
Sauti East Africa request for a segmentation analysis on all of their user's behavior. Sauti wishes to better optimize their menu design and explore the feasibility of smart menus based on user predicted behavior.
Heriot Watt University Edinburgh Data Science Life Cycle Courseworks, Labs and Practice Tests of 2025
Understanding User Engagement Patterns and Perform Churn Analysis
"Exploratory Data Analysis and Machine Learning on the Titanic dataset to uncover survival patterns and build predictive models."
project: (Customer Personality Analysis for Marketing Optimization); database: (Customer Segmentation: Clustering)
This repository contains Python notebooks and visualizations for an in-depth data analysis of a dental clinic in Brazil (2020-2025). The project explores analytical techniques like cohort analysis,patient segmentation, engagement, and dropout rates, providing key roecommendations for business growth and operational efficiency
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