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
Modern hotel data system using SOLID principles with multi-layer architecture for fetching, normalizing, merging and serving data via API.
EDA on Indian Premier League 2008-2020
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.
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.
This project corresponds to data wrangling project within Udacity Data Analyst Nanodegree.
analysis of MoMA artworks using publicly available data. includes visualizations using matplotlib
cleaning data course with python
A fixed-format COBOL app that merges pre-defined files.
An Analysis of Cyclistic Rider Behavior
Merging of different datasets files of US baby names and EDA.
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.
Data wrangling, analysis, and prediction for Amazon book reviews.
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A pure HTML/JavaScript tool that merges CSV files from exportify.app and exportify.net into one data packed CSV. All processing happens in your browser – your files never leave your device.
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.
Learning "Pandas" Library
Large dataset ETL of JSON and CSV files using pandas, regex, and export to SQL database
Find the true Scala experts by exploring its development history in Git and GitHub.
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