Which is the best chart: Selecting among 14 types of charts Part I

Which is the best chart for your data – this tutorial will discuss the 14 most popular chart types and we’ll show you when to use each one, and more importantly, when to avoid using them. Learn about the best uses of the bar chart, pie chart, doughnut chart, line chart, area chart, treemap chart, bridge chart, scatterplot, and histogram. This tutorial is organized by chart type and each section explores the different applications of a specific chart. Learn how to visualize your data to convey the most relevant information, and tell a data-driven story.

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#DataScience #Charts #Histogram

[joeyag]

Here because of Google Certificate Course 6 Week 1! If you are currently enrolled in this course as well let's keep going! We are almost there we can see the finish line in the distance! You got this!

[shashankkumarshah]

Who is here because of Google analytics course 6, week1❤️✌️

[RosaK]

Yeah! I'm here because of Module 6 of the Google Analytics Course and because this is the part of the course I'm most interested in learning more about: Data Visualization!

[chriscockrell]

Data = a set of information. Examples: corporate revenue, book sales, books that exist,
Dimension = ways to parse the data. Examples: by year, by company name, by rating - by genre, by author,
Measure = numerical quantification of a dimension. Examples: Must be numeric. Can be a sum, average, count,

A Bar Chart is an absolute measure of attributes of a dimension of data, an absolute comparison.

-Annual comparisons are common examples of bar charts. Best with only one dimension of data.

-When displaying two dimensions of data, a bar chart showing more than two attributes of the second dimension, looks cluttered.

Example: Book sales data, by two dimensions
1) year (5 years, so five attributes in the dimension, 2006, 2007, 2008, 2009, 2010) and
2) genre (which the dimension has 5 attributes, YA, Classic, Sci/Fantasy, Mystery, Romance)
Limiting either dimension to 2 attributes would declutter the graph.

A PI Chart is a relative measure of attributes of a dimension of data, as a whole, as a percentage, as a relative comparison. Without an absolute reference. (As a concept?) PI chart never involve time, the linear absolute.

Donut Chart - Same as a PI Chart
Line Chart - similar to bar charts but better with more dimensions of data. Also Stacked Line Chart. Or 100% line chart
Area Charts - (bad) basic, stacked, and 100% stacked. Needs more than one dimension. Without multiple years, it is bad. Good for two dimensions.

Data is information about a concept; objects and measures are both concepts.
A dimension identifies the essence of a concept.

Nominal data (named or concept based information). Whole set.
Ordinal data (so info does have ordering and potential names, but the interval of value between the ordered information is not defined - very satisfied, satisfied, unsatisfied, active mad about the customer service and will complain forever to everyone). First subset.
Interval data = Numerical data. Another embedded subset.

[Perlabee]

Here for the 6th course in Google analytics. It's been a smooth ride so far..
Thank you for this informative video 🚀💯

[zohraserhenova]

Yeap, another Google Data Analytics learner here :D Thanks for a great video!

[anantsinha]

Google Data Analytics course sent me here!

[nilanjansarkar]

Sometimes the most simple explanations are the best ones. Great work!

[JayBoahndao]

I am grateful for this invaluable insight into data visualization. I am on my way back to Google Data Analytics Course 6😊

[ugusin]

Google Data Analytics Professional Certificate brought me here :D

[drewonearth]

I liked the video, but I think you should have shown us a line chart for the fiction book data, as you stated that it would be better suited than the bar chart. Showing this improved viz would have helped my understanding, instead of just telling me.

[ashimasingh]

Properly explained and the relevant examples made the concepts of different types of charts absolutely clear. Thanks for the informative presentation.

[paulboakye-dankwa]

Google D.A Course 6 Wk 1, 2023 🎉🎉.. Lets keep going guys, it definitely worth it!!

[frehiwotfekadu]

Great presentation and clean slides. THANKS!

[hookaduckcrochet]

I'm here because of Google's Data Analytics course. Looking forward to people commenting and prompting me to look back in the future so I can be reminded how far I have come!

[pitbed]

Thank you for such easy understanding overview.

[wissalnaoui]

Thank you so much! I have been trying to find this kind of video for days now 😊

[bap]

saved my life on simple homework 10/10

[samirpatel]

Simply brilliant - have subscribed and will watch the other videos. May I suggest you have a cheat sheet to remind us of the types of charts to use.

[frankjaffa.i]

Very Insightful...also here because of course 6 work in Data Analytics course