This is the 6th project in my data analysis nanodegree and it focuses on prforming exploratory data analysis ( or EDA for short ) in R
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Updated
Apr 24, 2019 - R
This is the 6th project in my data analysis nanodegree and it focuses on prforming exploratory data analysis ( or EDA for short ) in R
This project explores the relationship between features and diagnosis in cancer data. Using methods like boxplots, scatterplots, PCA, k-means clustering, and logistic regression, we analyze and visualize data to understand health indicators.
Using linear regression to explain housing prices in Brooklyn, NY from 2016-2020 and estimate how prices changed from quarter 3 and quarter 4 of 2020
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 and Descriptive Data Analysis on Indonesian data using R. This project involves reading data, feature analysis, correlation analysis, logistic regression, PCA, MDS, and clustering. Visualizations include boxplots, scatter plots, corrgrams, and dendrograms. Comprehensive report available in report.docx.
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