Simple Omega2+ web application for controlling the on-board LED.

Analyzing earth quakes that have occurred around the world and making visualizations using Matplotlib and Plotly.

Mini-Project DADS5001 Data Analytics and Data Science Tools and Programming.

Here is a list of nice and lovely data visualizations made using different python libraries - matplotlib, seaborn, plotly, and folium.

MiniProj | Domain: Machine Learning & Data Science

I built a data Science Project with Python libraries to analyze and Visualize Uber Data. This Project also help Uber User to Analyze and Visualize their own data.

- Conducted comprehensive analysis of global and country-specific GDP data from 1960 to 2016 using Python libraries (NumPy, Pandas, Seaborn, Plotly) to identify trends, perform data cleaning. - Created interactive and static visualizations, including top 20 GDP comparisons and growth trajectories, and saved outputs as HTML files

Visualization of current COVID-19 trends in Shanghai.

Using rtweet, plotly and crosstalk to visualize tweets from Chilean latest presidential candidates

Проект по анализу вакансий с сайта HeadHunter

An app built with Streamlit. It reveals the whole picture of government grant funding in a specific state.

This project applies RFM analysis to segment customers based on purchasing behavior. It combines data cleaning, EDA, and RFM scoring to identify key customer groups and support targeted marketing, retention, and growth strategies.

This Internship project involves transforming raw Google Play Store data into actionable insights via ETL, data analytics & visualization, using sentiment analysis, revenue-impact studies & category-wise tracking with Plotly & HTML.

Clustering uber clients in New York and Visualize via plotly and Dash

Playing around with mudblazor

Analyzes 2020 US Census data to uncover income disparities and predict household income using Python.

Creating interactive data visualization using D3 package.

Some interesting statistics based on the information about our members on our Meetup group as of June 3, 2023

Data analysis realized in R Shiny and Python about the French electric vehicle and charging station infrastructure