This is the best & most efficient tutorial for someone who’s never used Tableau. I browsed through a half dozen other TH-cam 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.
In the pie chart you can use the 'entire view' from the drop down 'standard' This helps you to refrain reposition the charts.. in this case our Pie chart Awesome tutorial :)
I’ve been really comfortable using excel and pivot table so it’s a little apprehensive for me when I had to switch to tableau. This video assured me that tableau is not as scary as I thought.
This was so helpful! Thank you for using a real-life example. I find that I sort of tune out when the usual Sales Numbers that is often used in Tableau tutorials is used. Something real like the Titanic data really made it more understandable.
Same Titanic made it interesting for me. That and I've been obsessed with the ship since I was 7. I knew most of the survivors were women and children from 1st and 2nd class - from history.
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.
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.
Learning a little coding is sooo helpful though. You can go from solid charts gold to star to visual magic. And with generative AIs, ChatGPT and CLaude at least, it's turbo easy. Just tell it what you want and the application youre entering it in (I like to also ask "is this the best way to go about this" because it will often suggest more efficient ways to do something)
Aaoouuu naaaice tool , nice vizua..Doh!! Wait a minute this ain't a full tutorial. Please upload an end to end tutorial, love your contents. Your team is doing something really amazing, much respect for your team to bring free content for ppl around the world. :)
Awesome tutorial thanks a lot. Just one little addition from my point of view. Rather than comparing the relative distribution of age groups based on total percentages, i would suggest to use the percentages within each age group.
@@danielniels22 There's a whole nerd war on who gets to be called "Software Engineer", "Programmer", "Developer", and "Coder". 😂 I have found the best approach is to stay away haha
@@danielniels22 Nah, you replied to my 1 year old comment. I replied to your 4 hours old comment. 😂 But then again, the devs vs coders vs etc is a nerd war that rages on forever haha
@@KatRollo yeah, i was looking for tableau tutorial, but there are no one i believe except freecodecamp, but turns out this tutorial is too short 🤣 well, Im new into programming world, trying to shift career hahaha. i saw some youtubers talk about the difference between: -programmers (more focus into logics, and math, the language will just follow) -coders (focus more into languages) -developers (kinda both of that combined) are you a programmer or one of them?? i'd like to have someone to give me some insights haha, because im still confused into how to have the right learning path 😁😁
Good video. On the analysis, would be really helpful to get a visualization of the percentages within each group/segment as well. For example, what % "within" the 20-30 year olds or passenger class survived.
A bit late, but I hope it helps others who were asking themselves the same question: You can click on the SUM(Number of Records) entry in the Marks bar and choose "Compute using -> Survived". This should change the percentages from total to per-column (age in this case). Note: I used Tableau 2020 and in my case the name of the automatically generated Measure is called CNT(train.csv) rather than SUM(Number of Records)
Just wanted to make one note-- at the end you mentioned Excel, which I think is totally capable of handling 800 rows in this case. But Tableau really shines out when we are dealing with 1m+ rows. To me it's the Pivot Table on steroid. Nice tutorial!
Agreed, no having to work in Pages/Sheets and then transfer your visuals to a Dashboard. In Power Bi, the sheet is the dashboard canvas. Also, Power BI is just much more intuitive as is Power Query. Tableau does have some very nice visuals though.
In the "Age' Sheet, eg age 20-bin, "Survived 77, 'not-Survived' - 143', then in the bottom '%', Survival for age 20-bin should be about 33% and 'not -survived' 67%, i think this will be a more accurate measure. While % of total is not, as 20-age group represents the majority of the Titanic passengers. Hence wrong conclusion was drawn, as you said in the video, that people in ‘20s and 30s’, have the highest survival rate(about 10%). In reality, Age ‘10s’ has 50% survival rate, I can draw a conclusion by a glance that ‘female kids under 10 with no siblings or grand parents’ have the highest chance of survival. (it’s quite logic whether we have watched the movie or not, mums with babies were looked after first). Next Q is, how to create a measure for the 'survived and 'not -survived ' % in each age-bin; Also Q2, similar, how to create a measure for the sex(gender) in the % of survival? I think it’s more important than ‘Class’, “Ladies first” in the old days, because gentlemen in the first class will let ladies , regardless of class to get on the safety rafter first. Overall, I always love your video, great presentation, I will definitely want to watch more. Hope I’m not offending you in any way. Thank you. Jude
Dear Free code camp, is there any chance to get a full course with Python, pandas, R, NL or something? Thanks for the video, and for your work, It's great!
00:00 Title Screen 00:08 Intro to Tableau for Data Science 02:21 What is tableau? 03:33 Tableau Desktop - Drag & Drop 05:05 Installing Tableau Public 07:18 Download Titanic Dataset From Kaggle 28:35 Ending
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!
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.
Excellent tutorial and thank you for sharing your knowledge with the world. I have 2 questions: How can I change the label from 0 - 1 to 'Survived' and 'Didn't Survive' and How can I add the percentage to the pie chart? I tried formatting the numbers, but it didn't work. Many thanks and Regards from Madrid.
What are measures vs. dimensions (e.g. x vs y axis, dependent vs independent variables)? Point of classes and bins? May I apply confidence intervals or p values if necessary? May I rename 1 to 'survived' and 0 to 'expired?' If Excel as a million rows and 16k columns, how many does Tableau PBI offer? Thx.
Q: Why would a (future) data scientist want to learn BI tools without an API or even a linux client? Honestly, exposure to Excel with its 20-year-old OO programming language (VB6) will be better for a newbie's future career... A: the PHB...
This is the best & most efficient tutorial for someone who’s never used Tableau. I browsed through a half dozen other TH-cam 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.
Thank you!
If you are using the 2020 and above version of tableau, use the count measure instead of number of records. It's available in the measures tab.
You're a saint
okay.
Thanks!
@@joeybiegel6807 he is 😂
In the pie chart you can use the 'entire view' from the drop down 'standard'
This helps you to refrain reposition the charts.. in this case our Pie chart
Awesome tutorial :)
I’ve been really comfortable using excel and pivot table so it’s a little apprehensive for me when I had to switch to tableau. This video assured me that tableau is not as scary as I thought.
This was so helpful! Thank you for using a real-life example. I find that I sort of tune out when the usual Sales Numbers that is often used in Tableau tutorials is used. Something real like the Titanic data really made it more understandable.
Same Titanic made it interesting for me. That and I've been obsessed with the ship since I was 7. I knew most of the survivors were women and children from 1st and 2nd class - from history.
You displayed the power of tableau and demonstrated how easy it is to use. Which helped me a lot. Thank you.
Completing this tutorial made me feel like a real data analyst for the first time since I started studying
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.
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.
Learning a little coding is sooo helpful though. You can go from solid charts gold to star to visual magic.
And with generative AIs, ChatGPT and CLaude at least, it's turbo easy. Just tell it what you want and the application youre entering it in (I like to also ask "is this the best way to go about this" because it will often suggest more efficient ways to do something)
This is amazing and a high speed tutorial.. Thank you !! Wish there are more videos to follow up on this.
Totaly agree!
I'm new to tableau and it's amazing how powerful this software is.
Simply explained with a very detailed walkthrough for quick journey from uploading the dataset to visualization & storytelling. Great video!
Aaoouuu naaaice tool , nice vizua..Doh!!
Wait a minute this ain't a full tutorial.
Please upload an end to end tutorial, love your contents. Your team is doing something really amazing, much respect for your team to bring free content for ppl around the world. :)
ok..........................................use the count measure instead of number of records. It's available in the measures tab.
Awesome tutorial thanks a lot. Just one little addition from my point of view. Rather than comparing the relative distribution of age groups based on total percentages, i would suggest to use the percentages within each age group.
it is possible to see that the older passengers might have a lower survival ratio. just as a tendency
Succinct and insightful. Several visualization concepts and walkthrough in just 30 minutes. Thanks for this!
Programming is a pain for non-coders. As a developer, I actually find these drag-drop tools more fiddly. Thanks for the video.
i thought developers are coders too...
@@danielniels22 There's a whole nerd war on who gets to be called "Software Engineer", "Programmer", "Developer", and "Coder". 😂
I have found the best approach is to stay away haha
@@KatRollo woah you still reply your 1 year old comment 😂😂
@@danielniels22 Nah, you replied to my 1 year old comment. I replied to your 4 hours old comment. 😂
But then again, the devs vs coders vs etc is a nerd war that rages on forever haha
@@KatRollo yeah, i was looking for tableau tutorial, but there are no one i believe except freecodecamp, but turns out this tutorial is too short 🤣
well, Im new into programming world, trying to shift career hahaha. i saw some youtubers talk about the difference between:
-programmers (more focus into logics, and math, the language will just follow)
-coders (focus more into languages)
-developers (kinda both of that combined)
are you a programmer or one of them?? i'd like to have someone to give me some insights haha, because im still confused into how to have the right learning path 😁😁
Good video. On the analysis, would be really helpful to get a visualization of the percentages within each group/segment as well. For example, what % "within" the 20-30 year olds or passenger class survived.
A bit late, but I hope it helps others who were asking themselves the same question: You can click on the SUM(Number of Records) entry in the Marks bar and choose "Compute using -> Survived". This should change the percentages from total to per-column (age in this case).
Note: I used Tableau 2020 and in my case the name of the automatically generated Measure is called CNT(train.csv) rather than SUM(Number of Records)
@@julienstern7935 Small correction. It's the CNT(train.csv) in the *rows bar* rather than in the Marks bar In Tableau 2020.
@@julienstern7935 Yeah I noticed that too
as someone who is fairly proficient in ggplot and PowerBI, I cannot help but tempted to switch from PowerBI to tableau.
So many pros using Tableau
Great video. Nice and easy explanation. The pace was great, and it didn't sound intricate at any point.
Thanks a lot.
Just wanted to make one note-- at the end you mentioned Excel, which I think is totally capable of handling 800 rows in this case. But Tableau really shines out when we are dealing with 1m+ rows. To me it's the Pivot Table on steroid. Nice tutorial!
Excellent content in 28 min. Better than hours long videos. Thanks.
did it ,,will come back for an udate on how did my next project on cpp performed
Very straight to the point lecture. Learned much more than lenghty videos.
The delivery of the knowledge was ON POINT! Thanks so much!
Recently started using Tableau, thank you for your explaination but I think I will stick to PowerBI instead :)
Agreed, no having to work in Pages/Sheets and then transfer your visuals to a Dashboard. In Power Bi, the sheet is the dashboard canvas. Also, Power BI is just much more intuitive as is Power Query. Tableau does have some very nice visuals though.
this is AMAZING. Super simplified for data visualization
Very clear and informative, thank you so much for this tutorial.
really amazing crash course for beginners like me!
Thanks a lot.
Thank you, it really helped me a lot for my university project
Really a good Intro for Tableau. Thanks for the video.
Very useful thanks to freeCodeCamp.
thank you for the video. Looking for a new job and so this program in the bonus section. You gave me a good idea of the tool.
In the "Age' Sheet, eg age 20-bin, "Survived 77, 'not-Survived' - 143', then in the bottom '%', Survival for age 20-bin should be about 33% and 'not -survived' 67%, i think this will be a more accurate measure. While
% of total is not, as 20-age group represents the majority of the Titanic passengers. Hence wrong conclusion was drawn, as you said in the video, that people in ‘20s and 30s’, have the highest survival rate(about 10%). In reality, Age ‘10s’ has 50% survival rate, I can draw a conclusion by a glance that ‘female kids under 10 with no siblings or grand parents’ have the highest chance of survival. (it’s quite logic whether we have watched the movie or not, mums with babies were looked after first).
Next Q is, how to create a measure for the 'survived and 'not -survived ' % in each age-bin;
Also Q2, similar, how to create a measure for the sex(gender) in the % of survival? I think it’s more important than ‘Class’, “Ladies first” in the old days, because gentlemen in the first class will let ladies , regardless of class to get on the safety rafter first.
Overall, I always love your video, great presentation, I will definitely want to watch more. Hope I’m not offending you in any way.
Thank you. Jude
Great video. And the way you explain is awesome and simple! You should be in Tech pedagogy!
A great video. But how did they calculate the number of passengers who not survived?
This is such a great Tableau tutorial. Thank you!
All these software is basically like power bi dashboard
Great video....for a data analyst interview......
start from 6:44
Absolutely amazing video!
Wow, you delivered as promised in the title. Thank you.
28:31 Hmm... Well, I would argue that you can do it pretty well with Power BI.
To be fair, the video is from a couple of years ago when Power BI was just starting to take off in popularity.
Dear Free code camp, is there any chance to get a full course with Python, pandas, R, NL or something? Thanks for the video, and for your work, It's great!
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?
Thanks for making this video it was very helpful ...
This is extremely painless compared to R
Very useful
Hats off to this guy
Ease to understand, thank you so much.
This was a great video! It is very educational. Thank you
Very good tutorial! Found it very helpful!
Thanks for this. Made me so happy!
Good job. Waiting for more lessons on it. Thanks.
this was extremely helpful, thank you
I love freecodecamp
so tableau basically a drag drop version of seaborn / matplotlib?
Excellent tutorial. Thank you!
the resolution of the video is pretty low. cannot see the text of each field clearly
So easy to follow and understand... thanks
00:00 Title Screen
00:08 Intro to Tableau for Data Science
02:21 What is tableau?
03:33 Tableau Desktop - Drag & Drop
05:05 Installing Tableau Public
07:18 Download Titanic Dataset From Kaggle
28:35 Ending
Great video! Thanks so much for creating this content. Please more videos on Tableau
I love this tutorial, thank you!
Thanks a million for teaching me a new skill!
BTW, You’re very choosy about colors, aren’t you?😂
this is helpful. Thanks ! got to learn so much
Hi, which screen recording/capturing tool are you using? Nice video :)
Outstanding video, thank you!
Played at 1.5x speed makes it a more speedy intro.
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!
Thank you for sharing!
What great Presentation, i leaned a lot from this Tutorial, 5*
I like the tone he says "they didn't survive" at 9:30 . It's like he is sad and they didn't survive, for real.
Very helpful. Thanks
oh ...old memories with Windows 7
This was a great video! Thank you for posting
Awesome overview, thanks! :))
Great presentation and information!
Great tutorial. Thank you!
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.
Great class.
Keep up the good work.
Thank You,
Natasha Samuel
is this much sufficient for a beginner to learn tableau for data analysis?
try to upload a full course on tableau!!
Thanks for the video. So helpful for beginners like me :)
This is so useful!
What is the difference between converting to a dimension or creating bins? I can't tell what difference it makes...
Excellent tutorial and thank you for sharing your knowledge with the world. I have 2 questions:
How can I change the label from 0 - 1 to 'Survived' and 'Didn't Survive'
and
How can I add the percentage to the pie chart? I tried formatting the numbers, but it didn't work. Many thanks and Regards from Madrid.
I believe you can change it under label. Super easy
Thank you for making this video!
This was brilliant. Thank you.
What are measures vs. dimensions (e.g. x vs y axis, dependent vs independent variables)? Point of classes and bins? May I apply confidence intervals or p values if necessary? May I rename 1 to 'survived' and 0 to 'expired?' If Excel as a million rows and 16k columns, how many does Tableau PBI offer? Thx.
Great content. Thank you!
Q: Why would a (future) data scientist want to learn BI tools without an API or even a linux client? Honestly, exposure to Excel with its 20-year-old OO programming language (VB6) will be better for a newbie's future career... A: the PHB...
thanks for this!
Very helpful. Thank You
Good explanation Awesome!!!!
That was a great video, thank you.
very informative tutorial. nice job
Thanks a lot FCC!!!!
Yo, I couldn't do your tutorial because it took way too long for the data to extract into sheet 1
Awesome!!!
Cool for data viz. But descriptive analysis is not enough. Tableau is not the right tools for this case.