Udit Kumar Chatterjee's Projects
This repository contains Alteryx solutions to the weekly challenges published in Alteryx Community
This project focuses on scraping all the beers related information available on the BeerWulf website by using its backend private API; making necessary data transformations on the scraped data and then, analyzing & visualizing the data with Jupyter Notebook and Power BI.
This project focuses on scraping data related to books by their genre from the "Books To Scrape" website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
This project focuses on scraping all the service locations across Australia and their associated attributes from "Cleanaway" website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
This project focuses on scraping data related to video games from the GameRevolution website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
This project focuses on scraping famous quotes and their related data from the GoodReads website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
This project focuses on scraping data related to Pokémons from a complete Pokédex; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
This project focuses on scraping all the quotes and their related data from the "Quotes To Scrape" website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
This project focuses on scraping all the service locations across Australia & New Zealand and their associated attributes from "Suez" website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
This project focuses on scraping data related to Japanese Whiskey from the Whiskey Exchange website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
This project focuses on scraping data related to cafes and coffee shops in London, England from the Yellow Pages (Yell.com) website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
The project focuses on analyzing salaries and various other in-game metrics of top NBA basketball players from 2005-14 by performing exploratory data analysis with Python and Jupyter Notebook and by visualizing the data in an insightful dashboard made with Power BI
This project focuses on analyzing and visualizing the consumer goods sales in the United States between 2015-2016 using Python & Power BI.
This project automates the Python ETL process through GitHub Actions. The updated data is then analyzed and visualized with Jupyter Notebook and Power BI, respectively, to generate powerful insights
This repository contains solutions to the SQL challenges posted on DataLemur website using PostgreSQL environment
Datasets used in Plotly examples and documentation
This project focuses on analyzing and finding correlations between the three important metrics by 195 countries,i.e., birth rate, internet users, and income group.
This project focuses on building a very basic website with HTML only for a fictitious company
An efficient web scraping tool for gathering detailed book information from eBooks.com, with user-friendly selection options for categories, subjects, and topics, culminating in the generation of downloadable CSV files.
The project focuses on developing a web application that enables end users to predict the potential revenue of their ice cream business based on the temperature of a given day.
This project focuses on analyzing and visualizing the insurance portfolio of an anonymous company that implemented an aggressive growth plan in 2021 across the counties of Florida using Python and Power BI
DAX stands for "Data Analysis Expression" and it is the language of many business intelligence tools like Power BI, Power Pivot and SASS Tabular.
The project focuses on developing a responsive website using HTML and CSS for Legacy Hotels, a fictitious hotel chain.
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