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Big Data Analysis with Python

You're reading from  Big Data Analysis with Python

Product type Book
Published in Apr 2019
Publisher Packt
ISBN-13 9781789955286
Pages 276 pages
Edition 1st Edition
Languages
Authors (3):
Ivan Marin Ivan Marin
Profile icon Ivan Marin
Ankit Shukla Ankit Shukla
Profile icon Ankit Shukla
Sarang VK Sarang VK
Profile icon Sarang VK
View More author details

Table of Contents (11) Chapters

Big Data Analysis with Python
Preface
1. The Python Data Science Stack 2. Statistical Visualizations 3. Working with Big Data Frameworks 4. Diving Deeper with Spark 5. Handling Missing Values and Correlation Analysis 6. Exploratory Data Analysis 7. Reproducibility in Big Data Analysis 8. Creating a Full Analysis Report Appendix

Types of Graphs


The first type of graph that we will present is the line graph or line chart. A line graph displays data as a series of interconnected points on two axes (x and y), usually Cartesian, ordered commonly by the x-axis. Line charts are useful for demonstrating trends in data, such as in time series, for example.

A graph related to the line graph is the scatter plot. A scatter plot represents the data as points in Cartesian coordinates. Usually, two variables are demonstrated in this graph, although more information can be conveyed if the data is color-coded or size-coded by category, for example. Scatter plots are useful for showing the relationship and possible correlation between variables.

Histograms are useful for representing the distribution of data. Unlike the two previous examples, histograms show only one variable, usually on the x-axis, while the y-axis shows the frequency of occurrence of the data. The process of creating a histogram is a bit more involved than the line...

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