Language Breakdown
Lines of code distribution across 19 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
Global Impact visualization
Repos
19
PRs
0
Growth
+18%
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Coding Streak
Contribution activity over the past year
Luis Gonzalez
@luisdgd07
José Raposo
@0Darkn
shashusoft
@shashusoft
vishwa123
@vishwathekiller
Dominance
@Asifmahmud436
Top Repositories
This repository is dedicated to cleaning raw datasets to enhance their quality for analysis. It focuses on identifying and rectifying missing or erroneous entries using SQL queries, ensuring the datasets are reliable for further examination.
This project focuses on web scraping using Python to extract tabular data from websites. It employs BeautifulSoup for data extraction and Pandas for data manipulation, ultimately exporting the cleaned data to a CSV file for further analysis. This practical application enhances skills in data collection and processing.
This repository includes an AirBnB data analysis project using Tableau. It focuses on analyzing AirBnB listings, reviews, and calendar data to create an interactive dashboard that provides insights into property performance.
This repository focuses on analyzing potential bike buyers data to uncover key trends and factors influencing their purchasing decisions. It involves data cleaning, creating pivot tables, and building visualizations and a dashboard using Microsoft Excel.
This repository contains an exploratory data analysis (EDA) project focusing on layoffs across various companies. It utilizes SQL and MySQL Workbench to analyze datasets, highlighting trends and insights through visualizations.
This project showcases a Power BI dashboard built on the SuperStore Sales Dataset. It highlights key business metrics including sales, profit, and customer data, enabling clear and interactive analysis for strategic insights.
This project is a Power BI dashboard built to analyze e-commerce sales data. It uses two CSV files (Orders.csv and Details.csv) to visualize key metrics like revenue, top products, customer trends, and time-based performance. The dashboard helps in understanding overall business performance through interactive visuals and filters.
This project predicts the rise in sea levels based on historical data. Using the linregress function from SciPy and Matplotlib for plotting, the project generates best-fit lines to forecast the sea level rise up to the year 2050, both based on all data and data from the year 2000 onward.
A data visualization project that involves exploring time-series data on forum page views. It uses Matplotlib and Seaborn to generate line plots, bar charts, and box plots to identify trends in forum traffic and predict future growth based on the historical data.
This project focuses on visualizing medical examination data using Matplotlib, Seaborn, and Pandas. It creates line plots, bar charts, and box plots to analyze the relationship between lifestyle choices, body measurements, and cardiovascular disease.
Open Source Impact
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