Комментарии:
I'm here because of Google Data Analytics 6th course for this informative video. We move 🚀🚀.
ОтветитьHere for the six course of google analytics - Quite informative for data anlytics
ОтветитьVery captivating!
ОтветитьGoogle D.A Course 6 Wk 1, 2023 🎉🎉.. Lets keep going guys, it definitely worth it!!
ОтветитьHere for the 6th course in Google analytics. It's been a smooth ride so far..
Thank you for this informative video 🚀💯
you could have introduced better video, too much talks without real or series explanation!!!!
ОтветитьHere 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!
ОтветитьHow many of you got job offer after completion of google analytics course?
ОтветитьI 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.
ОтветитьProperly explained and the relevant examples made the concepts of different types of charts absolutely clear. Thanks for the informative presentation.
ОтветитьPerhaps the transcript would be good. This is slow and repetitive.
ОтветитьYeah! 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!
Ответитьwhat is the best alternative chart to bar chart in representing fiction book sale example. please help urgent! Thankyou.
Ответить❤️✌️
ОтветитьGoogle Data Analytics Professional Certificate brought me here :D
ОтветитьGoogle data analytics sent me here!
ОтветитьYeap, another Google Data Analytics learner here :D Thanks for a great video!
ОтветитьWho is here because of Google analytics course 6 ,week1❤️✌️
Ответить👍
ОтветитьTerrific. Thank you. 💝
Ответитьso a 100% stacled area chart basicly multiple pie charts over a duration of time?
ОтветитьLike if you’re studying Google Data Analytics!
ОтветитьGoogle Data Analytics course sent me here!
ОтветитьThanks for teaching
Ответитьwould have been better if you have shown also an improvement on bad examples.
ОтветитьThank you, very good presentation
ОтветитьSometimes the most simple explanations are the best ones. Great work!
ОтветитьIf the fiction book bar chart is not a good fit, what would be a good chart? Line?
ОтветитьYou introduce Pie charts with a 20 20 10 15 30 chart? 95%?
ОтветитьSimply 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.
ОтветитьWho’s watching this form Yodas?
ОтветитьThank you so much! I have been trying to find this kind of video for days now 😊
Ответитьbut the video is good
Ответитьthe bar chart which you are saying is not crystal clear it is not that hard to understand it
ОтветитьData = 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.
Look at this graph. -Nickelback
Ответитьsaved my life on simple homework 10/10
ОтветитьThank you for such easy understanding overview.
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