Data Science Projects
Salaries By College Major Analysis
This project focuses on exploring and analyzing salary data by undergraduate majors using the Pandas library in Python.
The dataset used in this project contains information on various college majors, including their starting and mid-career salaries as well as salary percentiles.
Analysing Popularity of Programming Languages
The project analyzes trends in programming language popularity over time.
Data includes time-stamped occurrences of various programming languages, which can be used to observe shifts in their usage.
By aggregating and visualizing this data, we can identify the most popular and emerging languages.
The goal is to understand programming trends to aid developers, recruiters, and educators.
LEGO Analysis
This project explores a LEGO dataset to uncover the history of the LEGO company, identify the largest LEGO set ever created, and determine which LEGO theme has the most sets.
It also examines the company’s expansion over time and analyzes the growth in size and complexity of LEGO sets.
The project aims to answer key questions about LEGO’s product offerings and strategic changes.
Analyzing Google Trends Data for Correlations
This project aims to explore the relationship between Google search volume and various types of data, such as the price of Bitcoin, Tesla stock, and unemployment rates.
By analyzing search trends, we can uncover potential patterns and correlations that provide insights into market behavior and economic indicators.
Comprehensive Analysis of the Android App Market
This project aims to perform an in-depth analysis of the Android app market by comparing thousands of apps available in the Google Play Store.
The goal is to uncover trends, patterns, and insights that can inform app development and marketing strategies.
Analyzing the Relationship Between Film Budgets and Box Office Revenue
This project aims to determine if there is a relationship between higher film budgets and box office revenue.
By analyzing movie budgets and financial performance data scraped from the-numbers.com on May 1st, 2018, we can uncover patterns and insights that may indicate whether larger budgets lead to greater box office success.and strategic changes.