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A Comprehensive and Analytical User Interface Application developed using UI library named Dash in Python. It provides detailed insights on worldwide terrorist attacks from the year 1970 to 2018. The application is largely bifurcated into two sections (via tabs), the first section including dynamic map tool visualization and the second section i…
Airbnb Data Analysis and Visualization project is a comprehensive data exploration and presentation effort. It involves data collection, preprocessing, ETL work, and the creation of an interactive Streamlit user interface. The project aims to provide insights and make Airbnb data more accessible and understandable.
Data Analyzer is a Django web application that enables users to upload CSV files, perform data analysis using pandas and numpy, and view results and visualizations on an interactive web interface. It simplifies data analysis by offering a user-friendly platform for data upload, processing, and visualization.
Project aim is to make comprehensive and user-friendly solution for extracting, transforming, and visualizing data from the Phonepe pulse Github repository.
A Streamlit Application Built using plotly_express and pandas, which takes a CSV/XLS File and Provides an Interface to Visualize the dataset on the available Records.
This script creates an animated choropleth map using the Plotly Express library, which shows how the GDP per capita of different countries evolves over the years.
In this project, macro-scale mobility data is downloaded through web-scraping, it is transformed and finally presented in the form of an interactive dashboard.
This is a dashboard for Data analysis electricity outage in South Africa built using Taipy a Python library that allows you to build web applications focused on data analysis and visualization
Data Science Jobs Analysis This project focuses on analyzing data science job postings, examining salaries, job titles, and locations. Using Python libraries like Pandas, Plotly, and Streamlit, it visualizes salary distributions, job title frequencies, and location-wise job distributions.