Analyzing Property Transaction Prices in Hong Kong in Python
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Updated
Sep 9, 2021 - Jupyter Notebook
Analyzing Property Transaction Prices in Hong Kong in Python
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.
Here there are some of the projects I did work for
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.
Large dataset ETL of JSON and CSV files using pandas, regex, and export to SQL database
EDA on Indian Premier League 2008-2020
Find the true Scala experts by exploring its development history in Git and GitHub.
cleaning data course with python
Learning "Pandas" Library
Data wrangling, analysis, and prediction for Amazon book reviews.
Large dataset ETL of JSON and CSV files using pandas, regex, and export to SQL database
This project involved analyzing Instacart's sales data to understand customer purchasing behaviors and optimize marketing strategies.
Accompanies a C# Corner article (URL TBD, stay tuned!)
Data Analysis and Data Merging
Merging of different datasets files of US baby names and EDA.
This project corresponds to data wrangling project within Udacity Data Analyst Nanodegree.
An Analysis of Cyclistic Rider Behavior
Use joining techniques to discover the oldest businesses in the world.
Using Python for data analyses of the online grocery shop Instacart to uncover sales patterns and reveal customer profiles.
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