Final Code from the CHM090 Efficacy Project
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Updated
May 1, 2023 - Python
Final Code from the CHM090 Efficacy Project
Python Project for Data Engineering
Among the beginning steps for Data Analyis, Data Preparation plays an important role to have clean, error free, clear formatted dataset to train/test the model on.
NYC TLC Data Analysis using Python, GCP Storage, Compute Engine, Mage Data Pipeline Tool, BigQuery, and Looker Studio. Aims to extract insights from the dataset for informed decisions and deeper operational understanding.
Student project #1 - Web scraping, use Python basics to create a program that automate the process of extracting, transform and load data from the online library "Books to Scrape".
Store SARS-CoV-2 genomic analysis results from ncov2019-artic-nf and ncov-tools to a sqlite DB
Udacity Data Engineering Capstone project
This repository contains code for comparing the performance of three different ELT (Extract, Load, Transform) methods on CSV files of different sizes. The three methods are implemented in Python using different approaches and libraries, and their execution times are compared and plotted for analysis.
This pipeline can be used to collect statistical information about all games, distributed through the Steam platform.
A group of python scripts that clean large data sets by removing duplicate data, putting data in correct formats, and removing redundant cells
Developed a Streamlit application for analyzing transactions and user data from the Pulse dataset. Explored data insights on states, years, quarters, districts, transaction types, and brands through EDA. Visualized trends and patterns using plots and charts to optimize decision-making in the Fintech industry.
Domain : Social Media | Extracting data using Youtube API and storing it on MongoDB then Transforming it to a relational databaselike MySQL. For getting various info about youtube channels.
This Twitter ETL project is aimed at providing data to support UN SDG number 16. The project is directed at providing data to generate actionable insights to stakeholders; regarding the 2022 Presidential Elections, Police Brutality, and Propagation of Hate Speech on Twitter
Python module for extracting, transforming and loading data
This is an Extract, Transform, Load (ETL) project of unstructured Airline Billing and Settlement Plans (BSP) data
Archive of MaRDA Metadata Extractors Schema. See Datatractor Beam, below, for the current repository.
Extract, Transform, and Load script for fetching new data from the NYC Open Data Portal's vehicle collision data and loading into the NYC Crash Mapper table on CARTO.
A bundle for zipline-reloaded to allow data for crypto assets to be ingested from Tardis
PRE-ALPHA - Write web crawlers using Bonobo
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