Forum Discussion
Creating a Graph of Columns Average
Hi LouisB,
Thanks for your deatils data sample, but is only the month columns useful?
After unpivot your data model, you will get the Month column and another Value column.
Is that the value column the electricity consumption per month?
If you want to calculate the average, you could use calculate(average([value])).
If you still need help, could you share your desired average value so that I can know what value you want to get?
Best Regards,
Cherry
Thank you for your answer, but after transposing my table, how to create a column with the average of all the line ?
So now I have: First column: the months, other columns: each column is an user data...
Really need sample data that I can copy and paste. Please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
Thank you Greg,
you right, it is so much cleaner when sharing the datas.
april august cooling_consumption december electricity_ecs electricity_heating electricity_subscription_price february january july june march may november october primary_energy_ecs primary_energy_subscription_price profitability_purchase_days profitability_purchase_months september specific_electricity_consumption total_annual_heating total_electricity total_primary_power product_product_id 49.70 0.00 0.00 118.99 0.00 0.00 93.17 108.91 137.21 0.00 0.00 91.25 11.61 71.66 50.30 73.77 291.29 19 10 5.74 217.49 645.38 310.66 1010.44 45 12.36 0.00 0.00 29.59 108.54 160.50 93.17 27.09 34.12 0.00 0.00 22.69 2.89 17.82 12.51 0.00 0.00 22 42 1.43 193.32 0.00 555.53 0.00 82 55.89 0.00 0.00 133.82 0.00 0.00 93.17 122.48 154.31 0.00 0.00 102.62 13.06 80.59 56.57 81.96 291.29 14 9 6.45 241.65 725.80 334.82 1099.06 104 25.78 0.00 0.00 50.32 0.00 0.00 117.74 44.82 58.07 0.00 0.00 38.46 11.46 26.80 17.53 131.14 291.29 13 26 0.92 386.65 274.16 504.39 696.58 109 28.85 0.00 0.00 69.07 0.00 0.00 117.74 63.22 79.65 0.00 0.00 52.97 6.74 41.60 29.20 160.59 0.00 9 18 3.33 483.31 374.61 601.05 535.20 110 67.68 0.00 0.00 162.03 0.00 0.00 172.04 148.31 186.85 0.00 0.00 124.26 15.81 97.58 68.50 321.18 0.00 7 8 7.81 966.61 878.82 1138.66 1200.00 111 181.95 0.00 0.00 387.08 0.00 0.00 172.04 347.07 446.64 0.00 0.00 302.85 130.13 211.91 150.72 295.06 291.29 9 3 46.58 869.95 2204.94 1041.99 2791.29 118 -53.68 0.00 0.00 -128.51 407.04 -697.00 172.04 -117.62 -148.19 0.00 0.00 -98.55 -12.54 -77.39 -54.33 0.00 0.00 -26 -9 -6.20 724.96 0.00 607.04 0.00 123 65.86 396.61 396.61 174.13 0.00 0.00 172.04 156.57 205.72 396.61 396.61 133.19 35.98 94.30 69.37 254.08 291.29 8 7 10.79 749.13 945.92 921.17 1491.29 131 75.44 170.59 170.59 151.80 542.72 781.89 172.04 136.70 171.22 170.59 170.59 110.16 8.98 84.86 41.42 0.00 0.00 8 9 1.30 966.61 0.00 2463.26 0.00 142 58.92 0.00 0.00 145.37 339.20 725.70 172.04 124.50 156.93 0.00 0.00 101.31 4.53 87.82 44.63 0.00 0.00 30 9 1.69 604.13 0.00 1841.08 0.00 147 51.32 0.00 0.00 122.87 0.00 0.00 172.04 112.46 141.69 0.00 0.00 94.23 11.99 74.00 51.94 221.30 291.29 26 10 5.92 652.46 666.43 824.51 1179.01 167 27.01 0.00 0.00 71.40 0.00 0.00 117.74 64.20 84.36 0.00 0.00 54.62 14.75 38.67 28.45 163.92 291.29 21 18 4.43 483.31 387.88 601.05 843.10 173 63.86 0.00 0.00 158.71 0.00 0.00 117.74 141.25 187.40 0.00 0.00 122.14 41.76 85.34 68.05 109.83 291.29 6 8 16.47 323.82 884.99 441.56 1286.11 184 51.74 0.00 0.00 100.98 352.77 550.17 172.04 89.94 116.53 0.00 0.00 77.19 22.99 53.79 35.17 0.00 0.00 5 13 1.85 628.30 0.00 1703.28 0.00 190 -70.87 0.00 0.00 -176.14 990.46 -982.17 172.04 -156.76 -207.98 0.00 0.00 -135.55 -46.34 -94.71 -75.52 0.00 0.00 -11 -7 -18.28 1764.07 0.00 1944.41 0.00 195 42.87 0.00 0.00 138.43 0.00 0.00 172.04 130.31 173.59 0.00 0.00 109.66 9.99 80.15 68.52 196.71 291.29 30 8 9.70 579.97 763.21 752.01 1251.21 200 210.35 0.00 0.00 522.78 298.50 0.00 117.74 465.26 617.26 0.00 0.00 402.31 137.54 281.10 224.15 0.00 0.00 15 2 54.24 531.64 2915.00 947.87 2915.00 201 What we need is a chart with the average electricity consumption per month (Only the Month's columns are usefull).
So in excel I would calculate the averages of each columns named: January, February, March, etc... and draw the results on Y with the months on X.
Thanks again for your precious help :)
Hi LouisB,
Thanks for your deatils data sample, but is only the month columns useful?
After unpivot your data model, you will get the Month column and another Value column.
Is that the value column the electricity consumption per month?
If you want to calculate the average, you could use calculate(average([value])).
If you still need help, could you share your desired average value so that I can know what value you want to get?
Best Regards,
Cherry
Hi v-piga-msft,
first thank you so much for your help.
You got it ! The solution was to Unpivot and not just Pivot my table :)
Then Group the rows by Month and setting the average of all the values.
Thank you all so much for your help.