Research Guides: Data Visualization: Software for Visualization

Tutorials

Web Resources:

Publisher: Alex the Analyst

Install
Load Data
Interface
Label/Filters

Publisher: freeCodeCamp.com

Data Science Background (Review of what Tableau can be used for)
Interface
Install
Load Data
Options (Labels, Legends)
Converting data type
Pie chart, Bar Chart
Create a conditional field
How to create/arrange a dahsboard

Web Resources:

LinkedIn Learning: Power BI Data Visualization and Dashboard Tips, Tricks, and Techniques

Power BI - Types of Visualization

This is website shows the types of visualizations that can be created in Power BI

Microsoft Power BI Quick Start Guide by Devin Knight; Mitchell Pearson; Bradley Schacht; Erin Ostrowsky
ISBN: 9781800561571

Publication Date: 2020-10-30

An accessible fast paced introduction to all aspects of Power BI for new or aspiring BI professionals, data analysts, and data visualizers. By the end of this Power BI book, you'll have a better understanding of how to get the most out of Power BI to perform effective business intelligence. What you will learn: Connect to data sources using import and DirectQuery options Use Query Editor for data transformation and data cleansing processes, including writing M and R scripts and dataflows to do the same in the cloud Design optimized data models by designing relationships and DAX calculations Design effective reports with built-in and custom visuals Adopt Power BI Desktop and Service to implement row-level security Administer a Power BI cloud tenant for your organization Use built-in AI capabilities to enhance Power BI data transformation techniques Deploy your Power BI desktop files into the Power BI Report Server If you have a basic understanding of BI concepts and want to learn how to apply them using Microsoft Power BI, this book is for you.

Web Resources:

Publisher: freeCodeCamp.com

Chart Types (Bar chart, line chart, pie chart, scatter plot, area chart, more)
Recommended chart feature
Chart elements
Excel dashboard
Organized data/data cleaning
Writing DAX (aggregate functions with variables)
Pivot tables
Interactivity

R has two main ways of creating visualizations. These are through R and through the package ggplot2. Visualizations in R are typically done with ggplot so these sources will be using ggplot.