Statistics: A Brief Guide | Summarising Data A guide to summarising data How to calculate averages, dispersion (spread) e g standard deviation and shape statistics (kurtosis skewness)
Chapter 5 Summarizing data - the basics | Introduction to data science Data summarization is typically numerical, visual or a combination of the two It is a key skill in data analysis - we use it to provide insights both to others and to ourselves Data summarization is also an integral part of exploratory data analysis In this chapter we focus on the basic techniques for univariate and bivariate data
1. A Gentle Introduction to Summarizing Data We summarize data to "simplify" the data and quickly identify what looks "normal" and what looks odd The distribution of a variable shows what values the variable takes and how often the variable takes these values
Data Summaries | Introduction to Data Science - University of Michigan Many approaches to data analysis may be viewed as data “summarization” The most immediate effect of summarizing data is to take data that may be overwhelming to work with, and reduce it to a few key summary values that can be viewed, often in a table or plot