All kaggle datasets and the R codes
Samples for Azure Databricks Orientation
This repo is submitted as partial fulfillment of the requirements of the 1st project of the Nanodegree of Udacity Advanced Data Analysis
Udacity Nano degree Project 5. (Communicate Data Findings)
Данный проект направлен на демонстрацию основных принципов анализа, преобразования, очистки и визуализации данных
This is a GitHub repository with a project on loan portfolio analysis and communication for a financial institution using Python, Pandas, and Matplotlib. It provides insights into loan distribution and customer demographics, as well as communication effectiveness.
An analysis of Seattle rain data collected at SeaTac International Airport from 1948 to 2017. *PLEASE SEE README.MD BELOW FOR THE FULL REPORT*
Data preprocessing & Data cleaning project
Performing Data Wrangling (gathering, assessing, cleaning) of WeRateDogs Twitter account & archive using Jupyter Notebook, followed by storing, analyzing and visualizing the wrangled data.
Fundamental R skills. From importing and transforming data to mastering relational data and data visualization, these challenges offer hands-on experience for a robust foundation in R.
Learning Material for the Computer Language Workshop, Fall 2018, Economics Department, The New School for Social Research. This only covers the first half of the class, which I taught.
Automate the process of EDA and Data Cleaning
Explore global drug seizures from 1980 to 2020 through our data analysis project. We delve into drug confiscation data, revealing trends, hotspots, and the evolution of seized drug types. Using visualization, analysis, and dashboards, we provide insights into the fight against drug trafficking.
A case study about a bike-share company to help understand the difference between different users
Scraping different products and thereafter analyzing different aspects respective to the products.
A case study I completed as part of the final course in the Google Data Analytics Professional Certificate program on Coursera. *PLEASE SEE README.MD BELOW FOR THE FULL REPORT*
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