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zakruti.com » IT - Software » freeCodeCamp.org
Tableau for Data Science and Data Visualization - Crash Course Tutorial

Tableau for Data Science and Data Visualization - Crash Course Tutorial

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Rating: 4.0; Vote: 1
Learn to use Tableau to produce high quality, interactive data visualizations! Tableau can help you see and understand your data. Connect to almost any database, drag and drop to create visualizations, and share with a click. -Tableau Public: https://public.tableau.com/en-us/s/ -Kaggle dataset: https://www.kaggle.com/c/titanic/data Find more data science information: https://www.velocityanalytics.io/ Tutorial from Velocity Consulting. Check out their YouTube channel: https://www.youtube.com/channel/UCjWUocSV-slQnC64nQ1vVhQ
Date: 2022-03-14

Comments and reviews: 6


Hello World,
Once we drag the Measure Values over into the worksheet the first time it appears that additional attributes inside the field become available shown in the same plane as the Page, Filter, Mark, etc.
So Just to summarize: It's not readily possible to achieve access to the Quick Table Calculations without first drilling into the Measure Values and drilling into the CNT(train.csv) field as the -Number of Records- actually correlate to -Measure Values- -----> -CNT(train.csv)- Only then can we access the quick table calculations.

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This is the best & most efficient tutorial for someone who-s never used Tableau. I browsed through a half dozen other YouTube tutorials & this is by far the best ! Excellent job !! My advice to someone who already has Tableau installed on their work computer & they just want to get started, then skip ahead to the 9 minute mark & start there.
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It's important to note that at 12:45 you can actually just double click onto the desired column(Null) to drill-down into the filter configurations. Also, I'm currently using a MacBook pro, forsooth clicking and dragging works just fine without holding the command key just to clarify.
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Seems like the percentages displayed on the second bar graph were percent of total deaths and not percent per column. I imagine this fix is easy but worth mentioning so as not to be misleading!
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I followed your lesson with the Kaggle download from first to last, all worked perfectly, it was really nice to get some hands on experience. I learned a lot.
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Why did we use Sum as a measure for the variable age if we want to know the distribution of age we should go for counts right?
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