Hi Bas, Great explaination, one quick doubt at 05:35 , cant the same column be achieved with this formula YearOfFirstOrder = year(FIRSTDATE(Sales[Order Date]))
Great video... I am just starting my power bi journey and all these "extra" explanations helped me a lot (ie: why I need the calculate to create the column)... Looking forward seeing next video!
Hi Bas - For the last graph, I don't find the type of graph with value - I only have those with X and Y axis - is it possible to tell us which one we have to pick ? thanks
enjoying all the practices, Bas. for YearOfFirstOrder, why not just this? YEAR(CALCULATE(MIN(Sales[Order Date]))) not sure why RELATED is not required. but it gives the same answers. or is this slower?
Thx Bart! If the X-axis is string/Boolean, the Type option will not display. Maybe you initially had a different field on the x axis and therefore it didnt show.
Thanks, Bas. This video is great and very informative. But I have a question about the 2nd chart: total sales by Year, with breakdown legend of Year of First Order. I wonder instead of using Year of 1st Order, can you use Customer Age/Tenure as the breakdown legend? This will be dynamic according to the Year / Timeline, so for the customers with 1st orders in 2015, their tenure will be 0, 1, 2, 3 respectively in 2015 to 2018. I think using customer tenure / age group as the legend has many uses, like checking the views of your new and old subscribers across time. I have tried but failed to create such a legend. I wonder whether you have some ideas?
Thanks Bas, this is exactly what I was looking for. To the point and easy to understand.
Hi Bas, Great explaination, one quick doubt
at 05:35 , cant the same column be achieved with this formula
YearOfFirstOrder = year(FIRSTDATE(Sales[Order Date]))
I used it and it gives the same result. Then I guess we don't have to use RELATEDTABLE function here.
Great one, thanks!!
Another great video. Thank you for sharing !!!
Really outstanding explanation...
Great video... I am just starting my power bi journey and all these "extra" explanations helped me a lot (ie: why I need the calculate to create the column)... Looking forward seeing next video!
Glad it was helpful! next one coming up soon
Very interesting and useful and insightful analysis, thanks
Glad to hear this Abeer, thanks for watching
Hi Bas - For the last graph, I don't find the type of graph with value - I only have those with X and Y axis - is it possible to tell us which one we have to pick ? thanks
Use Y-axis.
Hey Bas, nice video.
If you needed to avoid calculated columns, how would you approach this?
Thanks a lot!
enjoying all the practices, Bas.
for YearOfFirstOrder, why not just this?
YEAR(CALCULATE(MIN(Sales[Order Date])))
not sure why RELATED is not required. but it gives the same answers. or is this slower?
😮that does look easier and more efficient! next time I need to run the solution by you first for a double check haha 😀 thanks for pointing out!
@@HowtoPowerBI haha you flatter me. I just think simple because I only know simple. I have another one for round 7 too.
you just saved me bro thanx alot
Well done Bas! When I was making your example I did not have this option categorical/continuous. Later I saw it in the options.
Thx Bart! If the X-axis is string/Boolean, the Type option will not display. Maybe you initially had a different field on the x axis and therefore it didnt show.
I had no idea the new customer's pattern was now a quick measure. 👍
yea, easy to overlook that one! :D
Thanks, Bas. This video is great and very informative. But I have a question about the 2nd chart: total sales by Year, with breakdown legend of Year of First Order. I wonder instead of using Year of 1st Order, can you use Customer Age/Tenure as the breakdown legend? This will be dynamic according to the Year / Timeline, so for the customers with 1st orders in 2015, their tenure will be 0, 1, 2, 3 respectively in 2015 to 2018. I think using customer tenure / age group as the legend has many uses, like checking the views of your new and old subscribers across time. I have tried but failed to create such a legend. I wonder whether you have some ideas?
Very Informative, Thanks Bas!
great to hear! thx😀
Where is the dataset ?
download link is in the description
i love u ar exercises please we need more
Hi! It was awesome, but could you please make “classic” cohort analysis using matrix. I still can’t find any normal solution (((