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- Oct 10, 2017
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- 8
Hi all,
I am trying to figure out how to best visualize 5 years of monthly data of sales figures across 40 departments, where the goal is to find trends in a given month-year combination for a department (and perhaps ideally, comparing across the 40 departments for the 5 years of month-year groupings).
I've copied below what the format of the data looks like, however my table below is limited to just 10 columns across and 10 rows down. In reality, there are 62 columns and 41 rows formatted like the below to represent the 40 departments and 5 years worth of monthly data.
Any ideas greatly appreciated - if possible to see what this could look like in an Excel file, even better, although I'm not sure if Excel files can be uploaded here![Smile :) :)](https://cdn.jsdelivr.net/joypixels/assets/8.0/png/unicode/64/1f642.png)
I am trying to figure out how to best visualize 5 years of monthly data of sales figures across 40 departments, where the goal is to find trends in a given month-year combination for a department (and perhaps ideally, comparing across the 40 departments for the 5 years of month-year groupings).
I've copied below what the format of the data looks like, however my table below is limited to just 10 columns across and 10 rows down. In reality, there are 62 columns and 41 rows formatted like the below to represent the 40 departments and 5 years worth of monthly data.
Any ideas greatly appreciated - if possible to see what this could look like in an Excel file, even better, although I'm not sure if Excel files can be uploaded here
![Smile :) :)](https://cdn.jsdelivr.net/joypixels/assets/8.0/png/unicode/64/1f642.png)
Name of Department | May-18 | Jun-18 | Jul-18 | Aug-18 | Sep-18 | Oct-18 | Nov-18 | Dec-18 | Jan-19 |
Department 1 | 23964 | 20646 | 24365 | 32178 | 24759 | 33350 | 32518 | 46179 | 46435 |
Department 2 | 25855 | 42438 | 29039 | 21197 | 25242 | 21794 | 44018 | 41478 | 30223 |
Department 3 | 40395 | 21236 | 24692 | 29936 | 35040 | 49422 | 24524 | 21700 | 49510 |
Department 4 | 29649 | 24425 | 27949 | 34153 | 30890 | 32665 | 47608 | 25654 | 27962 |
Department 5 | 34885 | 39233 | 37701 | 32478 | 20877 | 24008 | 29007 | 26024 | 40210 |
Department 6 | 41046 | 41599 | 24785 | 45823 | 48509 | 33838 | 30322 | 37852 | 27310 |
Department 7 | 30597 | 21640 | 41414 | 27725 | 34261 | 44875 | 49255 | 43319 | 35779 |
Department 8 | 32535 | 36295 | 34752 | 21873 | 34947 | 26057 | 28438 | 23848 | 42617 |
Department 9 | 30196 | 49033 | 32503 | 31814 | 47739 | 24721 | 47452 | 48510 | 22483 |