Once every week Pointy Haired Dilbert celebrates the art of chart making by sharing 4-5 of the best info-graphics featured in various web sites. Click here to see the charts featured earlier.
How to does Love, Anger, Joy and other emotions look like?
Have you ever wondered how your emotions look like? That is exactly what folks at Emotionally Vague have done. They have surveyed 250 people from 35 countries on what makes them emotional, where in their body they feel the emotion, color of the emotion and direction of the emotion. Then they processed and plotted this results for us to see and understand ourselves better. What you are seeing above is the visualization for Joy.
New York subway map or the map is one of the finest examples of making rich information accessible to masses. Every day thousands of tourists, immigrants, people with barely any knowledge about New York grab the map and walk away to their destination with a smile. [via information aesthetics]
Education – the more you know the more there is to know
Indexed is one of my favorite blogs. Jessica comes up with these incredibly funny yet smart observations on life and everything around us using simple graphs.
Visualizing Playboy Center-folds from 1960 to 1990
What happens when you take center fold images from Playboy magazines all the way from 1960 to 1990 and create a visualization on how they all looked like? Jason Salavon did just that. He averaged pixels from centerfold pics and created the above visualization. Safe for work as long as you dont wander on his site 🙂 [via information aesthetics]
That is all, did you enjoy this edition of cool infographics? Drop me a comment or share this page with friends or browse archives. It gives me immense joy 🙂
11 Responses to “Who is the most consistent seller? [BYOD]”
The Date column in the sample file is Text not Dates
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Great Chandoo. Keep it up, Looking forward more from BYOD..
Thanks
With Excel 2013 the pivot table could be connected to the data model which provides a distinct count.
This will do for invoice count
=COUNTIF(F:F,H12)
Instead of
=COUNTIFS(sales[SELLER],$H12)
Excellent document. How did you make the last graphic? Witch app. Thanks for answer.
Can someone tell me what =countif(sales[date],sales[date]) is counting? The value is 19. Its found in the =SUMPRODUCT(IF(sales[SELLER]=H12,1/COUNTIFS(sales[SELLER],H12,sales[date],sales[date]),0))
Hi Chris,
=countif(sales [date],sales[date]) function is counting the unique dates in the table.
Vândalo
Excellent document!
Can you explain more about the calculation on Weighted consistency? More specific the small number is 0,00001 ?
How come the number should be smaller if there is more sellers?
Hi,
Not understood this formula: {=SUMPRODUCT(IF(sales[SELLER]=H12,1/COUNTIFS(sales[SELLER],H12,sales[date],sales[date]),0))}
Please explain.
Thanks.