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

365 Data Science
365 Data Science
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Published 2018-09-03
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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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All Comments (21)
  • @joeyag9082
    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!
  • @RosaK37
    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!
  • @Perlabee
    Here for the 6th course in Google analytics. It's been a smooth ride so far.. Thank you for this informative video 🚀💯
  • @chriscockrell9495
    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.
  • @zohraserhenova
    Yeap, another Google Data Analytics learner here :D Thanks for a great video!
  • @nilanjansarkar100
    Sometimes the most simple explanations are the best ones. Great work!
  • @ashimasingh7578
    Properly explained and the relevant examples made the concepts of different types of charts absolutely clear. Thanks for the informative presentation.
  • @pitbed
    Thank you for such easy understanding overview.
  • @Erh_duu
    Im here because of course 6 in google data analytics. Great job!
  • @4ugus7in3
    Google Data Analytics Professional Certificate brought me here :D
  • @wissalnaoui2977
    Thank you so much! I have been trying to find this kind of video for days now 😊
  • @samirpatel8517
    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.