Investigate Ford GoBike Project
A project is to make a simple Exploratory Data Analysis to find if there is a direct relationship between income and the level of education in Canada.
Exploratory & Explanatory Analysis of Prosper Loan Data.
Analysing the data of uber using R
This is an implementation for the famous Kaggle competition "House Prices" using EDA tools, feature engineering, handling outliers and missing data and finally machine learning linear models and regularization.
Online Gaming Case Study
Report emphasizing on exploratory and explanatory data visualization techniques used for analyzing FordGoBike bike-sharing system data
Predicting House Prices using Linear Regression Model
performed end-to-end reproducible data analyzes in the IE48A - Essentials of Data Analysis course taught at Boğaziçi University
Exploratory and explanatory analysis of a small, generated dataset. pandas + missingno + seaborn.
An analysis of Prosper Loan dataset
This project is conducted as a part of Udacity Data Analyst Nanodegree. The purpose of this project is to perform exploratory data analysis, then create a presentation with explanatory charts that conveys findings and insights from the data set provided.
This is the final community contribution for EDAV Fall 2023, Columbia University. Author: Xinyi Zhao, Jean Law
This repository demonstrates the use of Pandas Profiling library for Exploratory Data Analysis (EDA) within a Jupyter Notebook. By automating much of the EDA process, the library generates comprehensive and interactive reports, complete with insightful visualizations to facilitate data understanding.
Auto_MPG (Linear Regression)
Explanatory data analysis of Hong Kong Airbnb data; Data-driven insights regarding 5 business questions were provided.
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