Mini-projects on data analysys and statistical tests using Pytnon (pandas, numpy, matplotlib, seaborn, plotly.express, scipy)
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Updated
May 24, 2021 - Jupyter Notebook
Mini-projects on data analysys and statistical tests using Pytnon (pandas, numpy, matplotlib, seaborn, plotly.express, scipy)
Choropleth-maps of german weather-data with plotly express
Data Analysis Project.
The Global Peace Index (GPI) is a way to measure peace between countries and regions. It uses a variety of factors, such as the level of violence, the number of weapons, and the quality of life. The GPI is a valuable tool to understand the state of peace in the world and track progress over time.
The Indian Weather analysis provides comprehensive insights into weather patterns across regions in India. Analyzing key metrics such as temperature, wind speed, and air quality, it offers valuable information for planning and decision-making in various sectors, from agriculture to tourism.
A Python data analysis project exploring 60+ years of space missions (1957–2020) using a dataset of 4,300+ launches. Includes launch trends, cost analysis, success/failure rates, choropleth maps by country, and a deep dive into the USA vs. USSR Cold War Space Race, all visualized with pandas, matplotlib, and Plotly.
Visual Analytics project to analyze and discovery insights of video game sales in recent years, with the high-level API plotly.express. The dataset contains a list of video games with sales greater than 100,000 copies.
Deployment of streamlit application using heroku
This project shows the data analysis of economic data using Fred API (Federal Reserve Economic Data) by cleaning the data, fetching data from the API, exploring and analyzing.
Python-based EDA project analyzing Airbnb listing data to identify trends in price, reviews, availability, and listing popularity.
**Projeto em andamento**Projeto de análise de ativos financeiros por meio de séries temporais e previsão de preços de ativos
Limpieza, transformación y análisis exploratorio de un dataset con datos de airbnbn de Estocolmo. Utilice como regla general plotly-express para los gráficos.
Online Shopping Analysis
Customer behavior analysis, data analysis, data frame analysis, and clustering using machine learning
A Python data analysis of US fatal police shootings (2015–2017) alongside Census data on poverty, education, income, and race. Explores victim demographics, armed status, top cities, and state patterns with pandas, seaborn, and Plotly, including choropleth maps and death rates by race. Includes starter and solved notebooks.
🎬 An interactive OTT Subscriber Churn Predictor built with Streamlit and Scikit-Learn. Translates underlying machine learning metrics into plain business language, featuring automatic red/green behavioral risk tracking, annual revenue loss forecasting (INR), dynamic layout resetting, and one-click printable executive report exporting
Base for GTWF website
Heroku Dash app to show TV Show Ratings Data
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