This mini project involves learning the basic terminologies of univariate statistics in R.
Univariate analysis is the simplest form of analyzing data.
It's major purpose is to describe; it takes data, summarizes that data and finds patterns in the data.
TAGS
Boxplot , Histograms , Crosstables , xtabs
PROJECT OUTLINE
The project involves the following steps:
- 1.Analysing and finding mean,median,mode,sd,quatile ranges of a dataset.
- 2.Loading library psych and learning its functionality for storing statistical summaries in data frames.
- 3.Plotting boxplots and histograms for indepth analysis.
- 4.Summarising categorical data,using frequencies.
Here we use arthritis dataset and analyse the dataset using terms like crosstables,xtabs,collapsing tables and adding margins,etc.
ASSIGNMENTS
It involves following two assignments for indepth analysis and decision making :
- To tell whether automatic transition results in better mileage of the cars or no.(using data set mtcars)
- To check whether age impacts the arthritis patients treatement.ie "treated" people.(using arthritis dataset)