Creating a Sales Dashboard, featuring intelligent visualizations for business insights
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Updated
Jul 28, 2024 - Python
Creating a Sales Dashboard, featuring intelligent visualizations for business insights
This capstone project demonstrated the ability to collaborate on a presentation of data using Machine Learning techniques.
Repo for scraping TD precious metals website, tracking price changes
This is a dashboard which fetches data from a linked csv file and visualizes it on the dashboard in realtime
Web app facilitating Automated Medical Report Generation
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.
Analyzing the YouTube Data
This project focuses on analyzing Amazon's E-Commerce sales data on clothing to gain insights into sales trends, product performance, and other relevant metrics. Python and popular data analysis libraries such as pandas, matplotlib, seaborn, and plotly are utilized for data processing, visualization, and analysis.
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.
An exploratory data analysis dashboard for Formula#1 datasets, developed using the Streamlit framework
Streamlit-based analytics tool for viewing skill requirements sourced from LinkedIn using O*NET occupation classifications
Google DA capstone project
SImple python script that provides a summary of specific data from ILMT
Provides a comprehensive solution for detecting plagiarism and finding similarities between text documents
Examine your Data
The purpose of this interactive storyboard is to visually explore the transition to clean fuel technology in the BRICS nations (Brazil, Russia, India, China, and South Africa). By analyzing data on access to clean fuel technology over time and its impact, viewers can gain insights into the progress made by these countries and the challenges that re
An analysis of optimal car makes, models, years, and features based on 2022 Ontario Vehicle population data
Jupyter notebook, replicating studies on social capital from Nature journal, analyze economic connectedness, upward income mobility, and more. Python and relevant datasets are utilized to recreate figures and analyses.
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.
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