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




[ad_1]

👉 Download Our Free Data Science Career Guide:✅https://bit.ly/3fUejRO
👉 Sign up for Our Complete Data Science Training:✅https://bit.ly/310qk41
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.

👇🏻Follow us on YouTube:
https://www.youtube.com/c/365DataScience?sub_confirmation=1

👇🏻Connect with us on our social media platforms:
✅Website: https://365datascience.com/
✅LinkedIn: https://www.linkedin.com/company/365datascience
✅Medium: https://medium.com/@365datascience
✅Facebook: https://www.facebook.com/365datascience
✅Pinterest: https://www.pinterest.com/365datascience/
✅Reddit: https://www.reddit.com/user/365datascience
✅Tumblr: https://www.tumblr.com/blog/365datascienceblog
✅Instagram: https://www.instagram.com/365datascience
✅Q&A Hub: https://365datascience.com/qa-hub/

Prepare yourself for a career in data science with our comprehensive program:
http://bit.ly/3cL4epZ

Get in touch about the training at:
support@365datascience.com

Comment, like, share, and subscribe! We will be happy to hear from you and will get back to you!
#BestChart #Types #Charts #piechart #scatterplot #histogram #treemap

Source


[ad_2]

Comment List

  • 365 Data Science
    November 15, 2020

    Complete Data Science Online Training Program. Earn a data science degree at your own pace.
    👇🏻GET SPECIAL OFFER for 'The 365 Data Science Program'
    https://bit.ly/3aAYE93

    Comment, like, share, and subscribe! We will be happy to hear from you and will get back to you!

    #BestChart #Types #Charts #piechart #scatterplot #histogram #treemap

  • 365 Data Science
    November 15, 2020

    last

  • 365 Data Science
    November 15, 2020

    would have been better if you have shown also an improvement on bad examples.

  • 365 Data Science
    November 15, 2020

    Thank you, very good presentation

  • 365 Data Science
    November 15, 2020

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

  • 365 Data Science
    November 15, 2020

    i like charts 😀

  • 365 Data Science
    November 15, 2020

    If the fiction book bar chart is not a good fit, what would be a good chart? Line?

  • 365 Data Science
    November 15, 2020

    You introduce Pie charts with a 20 20 10 15 30 chart? 95%?

  • 365 Data Science
    November 15, 2020

    Thank you for your clear explanation. Anyway, is this channel https://www.youtube.com/watch?v=-RmOuGGPQ50 also yours? Cz it has exactly the same video as this.

  • 365 Data Science
    November 15, 2020

    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.

  • 365 Data Science
    November 15, 2020

    Who’s watching this form Yodas?

  • 365 Data Science
    November 15, 2020

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

  • 365 Data Science
    November 15, 2020

    Hard

  • 365 Data Science
    November 15, 2020

    What

  • 365 Data Science
    November 15, 2020

    but the video is good

  • 365 Data Science
    November 15, 2020

    the bar chart which you are saying is not crystal clear it is not that hard to understand it

  • 365 Data Science
    November 15, 2020

    wish this would have addressed how to handle charts with 10+ variables like they showed in the 'charts to avoid' section https://youtu.be/C07k0euBpr8?t=7

  • 365 Data Science
    November 15, 2020

    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.

  • 365 Data Science
    November 15, 2020

    Look at this graph. -Nickelback

  • 365 Data Science
    November 15, 2020

    saved my life on simple homework 10/10

  • 365 Data Science
    November 15, 2020

    Thank you for such easy understanding overview.

Write a comment