ScholarLens Back to search
2021•Apress eBooksRequires access

Tabulating Data and Constructing Static 2D and 3D Charts

Tshepo Chris Nokeri

Open publisher page 0 citations

Abstract

This chapter introduces the basics of tabulating data and constructing static graphical representations. It begins by demonstrating an approach to extract and tabulate data by implementing the pandas and SQLAlchemy libraries. Subsequently, it reveals two prevalent 2D and 3D charting libraries: Matplotlib and seaborn. It then describes a technique for constructing basic charts (i.e., box-whisker plot, histogram, line plot, scatter plot, density plot, violin plot, regression plot, joint plot, and heatmap).

About this research paper

What this paper is about

This chapter introduces the basics of tabulating data and constructing static graphical representations. It begins by demonstrating an approach to extract and tabulate data by implementing the pandas and SQLAlchemy libraries. Subsequently, it reveals two prevalent 2D and 3D charting libraries: Matplotlib and seaborn. It then describes a technique for constructing basic charts (i.e., box-whisker plot, histogram, line plot, scatter plot, density plot, violin plot, regression plot, joint plot, and heatmap).

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This chapter introduces the basics of tabulating data and constructing static graphical representations. It begins by demonstrating an approach to extract and tabulate data by implementing the pandas and SQLAlchemy libraries. Subsequently, it reveals two prevalent 2D and 3D charting libraries: Matplotlib and seaborn. It then describes a technique for constructing basic charts (i.e., box-whisker plot, histogram, line plot, scatter plot, density plot, violin plot, regression plot, joint plot, and heatmap).

Key concepts: Plot (graphics), Box plot, Scatter plot, Histogram, Chart, Graphics, Computer science, Recurrence plot

Related papers

Related paper 1Related paper 2
Back to paper searchBrowse research topicsOriginal source
Tabulating Data and Constructing Static 2D and 3D Charts — Research Paper | ScholarLens