Analyzing Property Transaction Prices in Hong Kong in Python
Modern hotel data system using SOLID principles with multi-layer architecture for fetching, normalizing, merging and serving data via API.
This repository contains two Python scripts for managing external organizations in Pure. The first script identifies duplicate External Organisations and exports them to a CSV file. The second script merges duplicate External Organisations based on the CSV data.
EDA on Indian Premier League 2008-2020
This project provides R code for importing, processing, and visualizing datasets, including operations like selecting rows/columns, creating new columns, computation, merging, applying functions, counting, and visualization.
Data wrangling, analysis, and prediction for Amazon book reviews.
In this our project we aimed to gather and analyze detailed information on apps in the Google Play Store in order to provide insights on app features and the current state of the Android app market.
Large dataset ETL of JSON and CSV files using pandas, regex, and export to SQL database
Merging of different datasets files of US baby names and EDA.
cleaning data course with python
analysis of MoMA artworks using publicly available data. includes visualizations using matplotlib
An Analysis of Cyclistic Rider Behavior
Learning "Pandas" Library
Using insights uncovered through the use of Python, guidance was provided on a marketing strategy for Instacart, based on a fabricated data set for this project. This project was completed as part of the CareerFoundry's curriculum.
Here there are some of the projects I did work for
Find the true Scala experts by exploring its development history in Git and GitHub.
This project involved analyzing Instacart's sales data to understand customer purchasing behaviors and optimize marketing strategies.
Useful SAS routines
Accompanies a C# Corner article (URL TBD, stay tuned!)
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