Artwork

Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

The Top 16 Types of Charts in Data Visualization That You'll Use

9:07
 
Share
 

Manage episode 410658813 series 3474670
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/top-16-types-of-chart-in-data-visualization-hrh32wv.
In the era of information explosion, more and more data piles up. However, these dense data are unfocused and less readable. So we need data visualization to help data to be easily understood and accepted. By contrast, visualization is more intuitive and meaningful, and it is very important to use appropriate charts to visualize data.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-visualization, #big-data, #latest-tech-stories, #hackernoon-top-story, #data-representation, #how-to-visualize-data, #column-chart-vs-bar-chart, #area-chart-vs-pie-chart, #hackernoon-es, and more.
This story was written by: @sage. Learn more about this writer by checking @sage's about page, and for more stories, please visit hackernoon.com.
The Top 16 Types of Charts in Data Visualization That You'll Use: Column Chart, Bar Chart, Scatter Plot, Bubble Chart, Radar Chart and Bubble Chart. All the charts in the article are taken from the data visualization tool FineReport. The chart is used to show the change of data over a continuous time interval or time span. It is characterized by a tendency to reflect things as they change over time or ordered categories. It should be noted that the number of data records of the line graph should be greater than 2.

  continue reading

126 episodes

Artwork
iconShare
 
Manage episode 410658813 series 3474670
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/top-16-types-of-chart-in-data-visualization-hrh32wv.
In the era of information explosion, more and more data piles up. However, these dense data are unfocused and less readable. So we need data visualization to help data to be easily understood and accepted. By contrast, visualization is more intuitive and meaningful, and it is very important to use appropriate charts to visualize data.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-visualization, #big-data, #latest-tech-stories, #hackernoon-top-story, #data-representation, #how-to-visualize-data, #column-chart-vs-bar-chart, #area-chart-vs-pie-chart, #hackernoon-es, and more.
This story was written by: @sage. Learn more about this writer by checking @sage's about page, and for more stories, please visit hackernoon.com.
The Top 16 Types of Charts in Data Visualization That You'll Use: Column Chart, Bar Chart, Scatter Plot, Bubble Chart, Radar Chart and Bubble Chart. All the charts in the article are taken from the data visualization tool FineReport. The chart is used to show the change of data over a continuous time interval or time span. It is characterized by a tendency to reflect things as they change over time or ordered categories. It should be noted that the number of data records of the line graph should be greater than 2.

  continue reading

126 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play