This document provides a summary of a data analysis project on Cyclistic bike share company. It describes using R, an open-source programming language, to apply advanced statistical methods like predictive analytics to uncover insights from the bike share company's data. The document outlines features of R like its large selection of packages, discusses analyzing a dataset on Amazon's top 50 bestselling books from 2009 to 2019 to categorize books into fiction and non-fiction, and covers techniques like k-means clustering.

1. A Project Report on
“A data analysis of Cyclistic Bike Share company”
Akash Kandalkar - BA 01
INDIRA INSTITUTE OF MANAGEMENT, PUNE

2. Advanced
Statistical
Methods
using R
• Advanced Statistical Methods using R is
a set of techniques that are used to
analyze data and uncover insights.
• R is an open-source programming
language that is often used for statistical
analysis.
• It includes a number of packages and
libraries that make it easy to apply
advanced statistical methods to data in a
fast and accurate manner.
• They are especially useful for predictive
analytics, which can help to identify
trends and forecast outcomes.

3. Features of
R Language
• Open-source
• Strong Graphical Capabilities
• Highly Active Community
• A Wide Selection of Packages
• Comprehensive Environment
• Can Perform Complex Statistical
Calculations

4. Overview of
Dataset
Dataset on Amazon's Top 50 bestselling books from
2009 to 2019. Contains 550 books, data has been
categorized into fiction and non-fiction using
Goodreads

5. • The 'tidyverse' package is a collection of popular packages for
data manipulation, exploration, and visualization
• The 'RColorBrewer' package provides color palettes for
visualizations
• The 'skimr' package provides quick and informative summaries
of data frames
• The 'corrplot' package provides visualizations of correlation
matrices

6. The code block is using the skim function from the skimr library to get a quick
overview of the structure and characteristics of the bestsellers data frame

7. In this, the filter function is used to get the all the books of Jeff Kinney

8. Most reviewed books The table shows the top 10 books
with the highest number of reviews.
The list is dominated by fiction
novels, with "Where the Crawdads
Sing" having the most reviews

9. K-Means Clustering
K-Means Clustering is an Unsupervised learning algorithm, which
groups the unlabeled dataset into different clusters

11. Amazon Top
Bestselling Books
This is known as the elbow graph, the
x being the number of clusters
The number of clusters is taken at the
elbow joint point
This point is where making clusters is
most relevant
The number of clusters is kept at
maximum

12. Analysis

13. THANK YOU