📈 Backtest Bitcoin strategies with this Python tool to analyze performance, visualize data, and create professional-grade financial charts.

😎 list of awesome python data visualization

This developer repository contains the latest version of the XMapTools source code. The code on the main branch is usually stable and working, but not fully tested. The compiled beta versions are usually safe and can be used to test the new features of XMapTools.

R-based statistical analysis and visualization of weather conditions' influence on public safety.

Power BI analytics report analyzing UPI transaction trends, balance behavior, and demographic segmentation using DAX and interactive bookmarks.

Insurance policy and claims analytics report built with SQL Server integration, DAX lifecycle logic, and automated scheduled refresh.

Exploratory Data Analysis (EDA) of the Google Play Store dataset using Python to uncover insights on app ratings, installs, categories, pricing, and trends.

Collection of Power BI projects showcasing end-to-end analytical workflows through dynamic dashboards and real-world data scenarios.

Data analysis case study for Bellabeat, focusing on health-focused products for women. Includes data processing, analysis, and actionable insights following the data analysis process.

Interactive data dashboard for six European rural regions; presenting, visualizing, and aggregating key rural smartness indicators and related data at different territorial levels to support local rural communities in their digital transformation.

Data Visualization for the 151 Pokémon in the Pokémon Diamond and Pearl games

Portfolio project: exam analytics dashboards with anonymized DMV data (SQL + Tableau)

A data-driven solution that helps Assur'Aimant, a French insurer, optimize insurance premium estimation. This project uses a predictive model to determine the cost of a potential client's premium, enabling efficient and accurate pricing for insurance companies

Professional financial chart generator for cryptocurrency and stocks with technical indicators, volume analysis, and intelligent data caching.

Python Crash Course project exploring API integration with requests, JSON parsing, and interactive visualizations using Plotly. Includes GitHub, Hacker News, and NIST NVD API examples, with direct applications to cybersecurity such as CVE monitoring, threat intelligence, and automated reporting.

GitHub portfolio + interactive resume | Showcasing data projects in civil rights (housing), cannabis, and analytics

A learning project for understanding basic data structures, deconstructing problem domains, and designing maintainable solutions in Python — with a focus on data preparation and visualization.

Personal website with geospatial content

Undergraduate thesis, Seoul National University Dept. of Economics — "Modeling Volatility and Risk Spillover Between the Financial Markets of US and China Using GARCH Value-at-Risk Forecasting and Granger Causality."