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Udacity Data Analyst Nanodegree - Project IV
code repository to support the DH2022 workshop Navigating and Processing Data from the TEI with XSLT
Read & write delimited text file formats (incl. CSV and TSV).
Detecting Spam in .tsv dataset of text message using NLP.
Computer hardware performance which has been recorded and is open for free usage. Licensed under the MIT License & CC-BY-4.
TSV to CSV is an online tool that converts TSV (Tab-Separated Values) files into CSV (Comma-Separated Values) files.
TSV to HTML is an online tool that converts TSV (Tab-Separated Values) files into HTML (HyperText Markup Language) files.
TSV to PDF is an online tool that converts TSV (Tab-Separated Values) files into PDF (Portable Document Format) files.
TSV to TXT is an online tool that converts TSV (Tab-Separated Values) files into TXT (Text) files.
TSV to XLS is an online tool that converts TSV (Tab-Separated Values) files into XLS (Microsoft Excel Spreadsheet) files.
This repository showcases my project on wrangling and analyzing the WeRateDogs Twitter dataset as part of Udacity's Data Analyst Nanodegree. The project focuses on gathering, assessing, cleaning, and analyzing Twitter data to uncover trends and patterns in dog ratings and engagement metrics.
Udacity Data Analyst Nanodegree Project II
Gathering data from variety of sources and in variety of formats, assessing its quality and tidiness, then cleaning it. Followed by the wrangling efforts through analyses and visualizations.
Computer hardware performance which has been recorded for Asus GL553VD and is open for free usage. Licensed under the MIT License & CC-BY-4.
Analysis of WeRateDogs Twitter account (@dog_rates) Tweets
Udacity Data Analyst Nanodegree - Project IV
Exports SQL Server Table Data in TSV Format
Portfolio Project for Machine Learning
It was the project of the udacity data analysis nano degree, my job was to gather data from Twitter API programmatically with python then assess it and discover its quality and tidiness issues then clean these issues with pandas and finally, I did some analysis and visualization to this data to make insights of it