Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by BadrAnalyst
A curated list of projects in awesome lists by BadrAnalyst .
https://github.com/badranalyst/student-tests-data-analysis-application
Python-based analysis of student test scores in math, reading, and writing, examining correlations with parental education, lunch type, and test preparation. Includes data cleaning, visualization, and statistical insights into factors influencing academic performance.
data-analysis data-visualization dataset matplotlib numpy pandas python sklearn
Last synced: 21 Dec 2024
https://github.com/badranalyst/movie-correlation-analysis-in-python
This project analyzes movie data correlations using Python libraries like Pandas, NumPy, Seaborn, and Matplotlib. It examines relationships between attributes such as ratings, genres, and box office performance to uncover trends that inform recommendations and enhance understanding of movie success factors.
data data-analysis dataset jupyter jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python seaborn
Last synced: 21 Dec 2024
https://github.com/badranalyst/data-cleaning-and-exploratory-data-analysis-project
This project uses SQL to clean and analyze a layoffs dataset. Data cleaning tasks include removing duplicates, standardizing values, and handling missing data. Exploratory analysis is performed to identify trends in layoffs across companies, industries, and time periods.
cleaning-data data database dataset mysql mysql-database sql
Last synced: 02 Nov 2024
https://github.com/badranalyst/startup-expansion-analysis-with-pandas-matplotlib-and-power-bi
Analyzes startup growth and expansion factors using Pandas for data analysis and Matplotlib for visualizations. Complements findings with data visualizations in Power BI, providing actionable insights into funding and market trends.
dashboard data-analysis data-visualization dataset matplotlib matplotlib-pyplot pandas power-bi powerbi
Last synced: 07 Jan 2025
https://github.com/badranalyst/web-scraping-job-data-with-beautifulsoup-and-pandas
Uses BeautifulSoup to scrape job listing data, including titles, companies, and types, from a web source. Cleans and processes the data using Pandas for further analysis.
beautifulsoup bs- bs4 urlib urlopen web-scraping webscraping
Last synced: 07 Jan 2025
https://github.com/badranalyst/exploratory-data-analysis-on-salaries-dataset
Performing EDA on a dataset related to salaries, exploring relationships between factors like job titles, industries, and locations. Insights are visualized with plots to identify trends and disparities in salary data.
Last synced: 07 Jan 2025
https://github.com/badranalyst/global-covid-19-data-exploration-with-sql
Explored COVID-19 data from around the world using SQL, analyzing case trends, mortality rates, and recovery patterns. Queried and visualized key metrics across regions and time to gain insights into the pandemic's global progression and impacts.
Last synced: 11 Nov 2024
https://github.com/badranalyst/covid-deaths-and-vaccinations-sql-data-exploration
This project involves exploratory data analysis on COVID-19 deaths and vaccinations data using SQL. It aims to uncover trends, patterns, and insights related to vaccination rates and their impact on mortality. The analysis provides a clearer understanding of the pandemic's dynamics, facilitating data-driven decisions in public health.
covid-19 data data-exploration dataset sql
Last synced: 11 Nov 2024
https://github.com/badranalyst/nashville-housing-sql-data-cleaning
This project focuses on cleaning and preparing the Nashville Housing dataset for analysis using SQL. It involves identifying and rectifying inconsistencies, handling missing values, and optimizing the dataset for further exploration. The cleaned data is essential for accurate insights into housing trends and patterns in Nashville.
cleaning-data data-cleaning database dataset sql
Last synced: 11 Nov 2024
https://github.com/badranalyst/customer-call-list-data-cleaning-with-pandas
Performed data cleaning on a customer call list using Pandas, addressing missing values, duplicates, and formatting inconsistencies. The cleaned dataset is prepared for further analysis to enhance customer insights and streamline contact management.
Last synced: 11 Nov 2024
https://github.com/badranalyst/bikes-sales-data-analysis
This project focuses on cleaning, analyzing, and visualizing a bike sales dataset in Excel. Key factors include income, gender, age brackets, commute distance, region, marital status, and education. The dashboard displays trends and relationships between these factors and bike purchases, providing insights into customer demographics and behavior.
dashboard data-analytics data-cleaning data-visualization excel
Last synced: 11 Nov 2024
https://github.com/badranalyst/airbnb-listings-data-visualization-insights-into-pricing-and-popularity
This project visualizes Airbnb listings data, focusing on price by zip code, average price per bedroom, annual revenue, and distinct bedroom listings. Interactive charts reveal trends and patterns, providing valuable insights for hosts and travelers to understand market dynamics.
dashboard data-visualization dataset tableau tableau-dashboards tableau-desktop tableau-public
Last synced: 11 Nov 2024
https://github.com/badranalyst/residential-unit-prices-data-analysis-application
Python-based analysis of residential unit prices, focusing on data cleaning, visualization, and exploratory data analysis (EDA). Key features include price distribution, and correlation analysis between factors like size, location, and pricing.
data-analysis data-visualization dataset matplotlib numpy pandas python seaborn
Last synced: 11 Nov 2024
https://github.com/badranalyst/scraping-data-from-a-real-website
Web-scraped data on the largest U.S. companies by revenue, capturing rank, name, industry, revenue (in USD billions), employees, and headquarters location. Data is structured into a CSV dataset, ready for analysis and insights into major corporate players.
beautifulsoup beautifulsoup4 python requests web-scraping web-scraping-python
Last synced: 11 Nov 2024
https://github.com/badranalyst/world-population-exploratory-data-analysis-with-pandas-matplotlib-and-seaborn
Conducted exploratory data analysis on global population data using Pandas, Matplotlib, and Seaborn. Visualized trends, distributions, and relationships to uncover insights into population growth, density, and demographics across regions.
charts data-exploration matplotlib matplotlib-pyplot pandas python seaborn
Last synced: 11 Nov 2024
https://github.com/badranalyst/covid-deaths-dashboard-with-tableau
This project showcases an interactive dashboard developed in Tableau to visualize COVID-19 deaths data. It provides insights into trends, geographical distributions, and key metrics related to mortality during the pandemic. The dashboard aims to enhance understanding of the data, supporting public health analysis and decision-making.
covid-19 dashboard data data-analysis data-visualization dataset tableau tableau-dashboards visualization
Last synced: 11 Nov 2024
https://github.com/badranalyst/data-professional-survey-breakdown-power-bi-dashboard
This project presents an interactive Power BI dashboard analyzing data professionals' insights. Key focus areas include job satisfaction, challenges in entering the data field, career priorities, demographics, and more. The visualization helps uncover trends and factors impacting data professionals globally.
charts dashboard dashboards data data-cleaning data-visualization dataset dax power-bi powerbi
Last synced: 11 Nov 2024
https://github.com/badranalyst/tips-dataset-analysis-dashboard-with-streamlit-and-plotly
Interactive Streamlit dashboard analyzing the Seaborn 'tips' dataset, which records information on restaurant bills, including total bill amounts, tips, customer demographics (e.g., gender, smoking status), and dining details (e.g., day, time). Visualized with Plotly for insights into tipping patterns.
data-analysis data-analytics data-visualization dataset eda exploratory-data-analysis matplotlib matplotlib-pyplot numpy pandas plotly python seaborn streamlit
Last synced: 26 Dec 2024
https://github.com/badranalyst/e-commerce-customer-analysis-data-science-foundations-case-study
This case study explores e-commerce customer data through data exploration, pre-processing, and splitting. It includes model building and training to analyze customer behavior. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used for the analysis and model development.
data-analysis data-science dataset eda exploratory-data-analysis machine-learning matplotlib ml model-building model-training numpy pandas pre-processing python seaborn
Last synced: 30 Dec 2024
https://github.com/badranalyst/restaurant-reviews-sentiment-analysis-nlp-case-study
This project analyzes restaurant reviews using Natural Language Processing (NLP) for sentiment analysis. It covers data exploration, pre-processing (NLTK text cleaning), model building, prediction, and deployment. The goal is to predict sentiment from reviews using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
data-analysis data-science eda exploratory-data-analysis matplotlib-pyplot model model-building numpy pandas pre-processing predictive-modeling python seaborn
Last synced: 30 Dec 2024
https://github.com/badranalyst/titanic-survival-prediction-full-data-science-project-classification
This project predicts Titanic survivors using classification models. It includes data cleaning, pre-processing, exploratory data analysis (EDA), categorical feature conversion, model building, and evaluation. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used to analyze and predict survival outcomes.
classification data-analysis data-science eda exploratory-data-analysis machine-learning matplo matplotlib-pyplot ml model numpy pandas predictive-modeling python seaborn
Last synced: 30 Dec 2024