While doing a course on Coursera I came across this dataset, which was meant to give hands on experience of working on R package “TIDYVERSE” & “GGPLOT”. The objective of this project is do explanatory data analysis using this data and answer following questions : To create various kind of plots using GGPLOT ? Number of species and details ? Which is the largest penguin Species? Which species has more Body Mass ?

The online Retail is a UK based seller of occasional gifts which operates in Various country across the globe, many customers of company are wholesellers. This case study has been done to answer following questions Which are Top 5 country based on Order volume ? Which are Top products in various country ? Which products generate most sales in Top country ? What time products are sold most in across Country ? Which day products are sold most in across Country ? Which month products are sold most in across Country ? And to help making a data driven decision making using (APPASA) in managing inventory, generating more revenue and as well as in tracking various KPI.

While doing a course on Coursera I came across this data set, which was meant to give hands on experience of working on R package “DPLYR”. The objective of this project is do explanatory data analysis using this data and answer following questions : To Check the effectiveness Of supplement & Dosage ? To get hands on experience on using DPLYR, GGPLOT, TIDYVERSE ? Data Set & Metadata later on after doing research I came to know that this data is collected by “E. W. Crampton” and a part of research essay titled “THE GROWTH OF ODONTOBLASTS OF THE INCISOR TOOTH AS A CRITERION OF THE VITAMIN C INTAKE OF THE GUNIA PIG” and was published in THE JOURNAL OF NUTRITION

Cyclist_bike_share In 2016, Cyclistic launched a successful bike-share offering. Since then, the program has grown to a fleet of 5,824 bicycles that are geotracked and locked into a network of 692 stations across Chicago. The bikes can be unlocked from one station and returned to any other station in the system anytime. Until now, Cyclistic’s marketing strategy relied on building general awareness and appealing to broad consumer segments.One approach that helped make these things possible was the flexibility of its pricing plans: single-ride passes, full-day passes,and annual memberships. Customers who purchase single-ride or full-day passes are referred to as casual riders. Customers who purchase annual memberships are Cyclistic members.