Which is the best chart: Selecting among 14 types of charts Part I
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- Опубликовано: 15 июл 2024
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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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#DataScience #Charts #Histogram
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Who is here because of Google analytics course 6 ,week1❤️✌️
me
@@amrghabbour1207 me
me too🙋♀
mee 😀
🙋♀
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!
Telling myself over and over thee same thing
We are almost there
looking at the date for your post, you must be done with the course. Congratulations! But I want to know, how has the field been for you? Any tip for learners like myself? Hoping to hear from you soon.
hi , I am from google data analytics as well, almost there. How did the certificate help you?
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!
same here! I'm enjoying this part of the whole course the most; course 5 was definitely the toughest so far.
@@Moiez101 yes, it was. Now, I’m happy with the module 6 and I believe module 7 will be cool, as well. But the capstone will need to wait. I will have to learn SQL aside because this course skipped “intermediate level”. It jumped from beginner to advanced 🥴😣
@@RosaK37 SQL in the google analytics course was pure ass....Especially in Course 5....Definitely learn it elsewhere.
@@7Earthsky why learn it elsewhere? the way we are complaining it as complex is infact basic practices, you can't win a job or perform a major analysis limiting with basic practices, needs a lot of practice that way we can actually do something better.
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.
Here for the 6th course in Google analytics. It's been a smooth ride so far..
Thank you for this informative video 🚀💯
yea..Same here
Yeap, another Google Data Analytics learner here :D Thanks for a great video!
Google Data Analytics course sent me here!
Google Data Studio sent me here!
Sometimes the most simple explanations are the best ones. Great work!
Google data analytics sent me here!
Properly explained and the relevant examples made the concepts of different types of charts absolutely clear. Thanks for the informative presentation.
Google Data Analytics Professional Certificate brought me here :D
Thank you, very good presentation
Great presentation and clean slides. THANKS!
Terrific. Thank you. 💝
Thank you for such easy understanding overview.
So happy you found this video helpful! :)
Best.
365 Data Science Team
Thanks for teaching
Google D.A Course 6 Wk 1, 2023 🎉🎉.. Lets keep going guys, it definitely worth it!!
saved my life on simple homework 10/10
Im here because of course 6 in google data analytics. Great job!
Very captivating!
Thank you so much! I have been trying to find this kind of video for days now 😊
Same here
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.
Very Insightful...also here because of course 6 work in Data Analytics course
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.
Here for the six course of google analytics - Quite informative for data anlytics
I'm here because of Google Data Analytics 6th course for this informative video. We move 🚀🚀.
thank you sir, from future
If the fiction book bar chart is not a good fit, what would be a good chart? Line?
what is the best alternative chart to bar chart in representing fiction book sale example. please help urgent! Thankyou.
so a 100% stacled area chart basicly multiple pie charts over a duration of time?
I am here after the suggested learning in Course 6 (Share data through the art of Visualization) of Google's Data Analytics professional certificate. Can someone suggest additional learning resources for the practice of SQL in various Databases other than BigQuery? SQL seems inadequate in this course except for the theoretical knowledge. Please suggest.
I am also here because of Google analytics Course N°6.
Look at this graph. -Nickelback
how did our eyes get so red
It's hard to say it...good pie, good pie.
👍
but the video is good
❤️✌️
You introduce Pie charts with a 20 20 10 15 30 chart? 95%?
wish this would have addressed how to handle charts with 10+ variables like they showed in the 'charts to avoid' section ruclips.net/video/C07k0euBpr8/видео.html
would have been better if you have shown also an improvement on bad examples.
Like if you’re studying Google Data Analytics!
How many of you got job offer after completion of google analytics course?
the bar chart which you are saying is not crystal clear it is not that hard to understand it
Yes google sent me here.
Who’s watching this form Yodas?
Gamer129 Uoo, yoda as in mrs Hensleys class?
Nathania Ngo yep
I’m J btw
Or I should say someone starting with J
Gamer129 Uoo jerry? Idk
Perhaps the transcript would be good. This is slow and repetitive.
you could have introduced better video, too much talks without real or series explanation!!!!