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Step 1: Calculate Formula based on last 7 days data for different "Market"
Each of the value is created with sum of previous 7 days values. Sample in table below.
Forumula column in Date 11/7 should caluculate below value based on data from 11/1 to 11/7
Formula: =(SUM(C2:C8)+SUM(D2:D8)-SUM(E2:E8))/(SUM(F2:F8)+SUM(G2:G8))
Date | Market | A | B | C | D | E | F | Formula |
11/1/2024 | New Jersey | 12 | 345 | 33 | 54 | 66 | 442 | |
11/2/2024 | New Jersey | 34 | 575 | 2 | 244 | 345 | 22 | |
11/3/2024 | New Jersey | 442 | 23 | 223 | 64 | 41 | 66 | |
11/4/2024 | New Jersey | 22 | 45 | 44 | 33 | 432 | 345 | |
11/5/2024 | New Jersey | 66 | 7 | 356 | 2 | 345 | 41 | |
11/6/2024 | New Jersey | 345 | 54 | 634 | 223 | 575 | 432 | |
11/7/2024 | New Jersey | 41 | 244 | 546 | 66 | 23 | 345 | 0.17 |
11/8/2024 | New Jersey | 432 | 64 | 432 | 345 | 45 | 575 | 0.06 |
11/9/2024 | New Jersey | 345 | 33 | 345 | 41 | 7 | 23 | -0.19 |
11/10/2024 | New Jersey | 575 | 2 | 575 | 432 | 54 | 45 | -0.25 |
11/1/2024 | Boston | 23 | 223 | 23 | 345 | 244 | 7 | |
11/2/2024 | Boston | 45 | 66 | 45 | 575 | 64 | 54 | |
11/3/2024 | Boston | 7 | 345 | 7 | 23 | 345 | 244 | |
11/4/2024 | Boston | 54 | 41 | 54 | 45 | 575 | 64 | |
11/5/2024 | Boston | 244 | 432 | 244 | 66 | 23 | 33 | |
11/6/2024 | Boston | 64 | 345 | 223 | 345 | 45 | 2 | |
11/7/2024 | Boston | 33 | 575 | 44 | 41 | 7 | 546 | 0.68 |
11/8/2024 | Boston | 2 | 23 | 356 | 432 | 23 | 432 | 0.50 |
11/9/2024 | Boston | 223 | 45 | 634 | 44 | 45 | 345 | 0.42 |
11/10/2024 | Boston | 44 | 7 | 546 | 356 | 7 | 575 | 0.02 |
11/1/2024 | NYC | 356 | 23 | 674 | 634 | 54 | 23 | |
11/2/2024 | NYC | 634 | 45 | 634 | 546 | 223 | 45 | |
11/3/2024 | NYC | 546 | 7 | 546 | 432 | 44 | 7 | |
11/4/2024 | NYC | 674 | 54 | 674 | 345 | 356 | 54 | |
11/5/2024 | NYC | 345 | 244 | 345 | 575 | 634 | 244 | |
11/6/2024 | NYC | 56 | 64 | 56 | 432 | 546 | 223 | |
11/7/2024 | NYC | 565 | 33 | 565 | 345 | 432 | 44 | 0.03 |
11/8/2024 | NYC | 56 | 2 | 54 | 575 | 345 | 356 | 0.08 |
11/9/2024 | NYC | 56 | 223 | 244 | 23 | 575 | 634 | 0.08 |
11/10/2024 | NYC | 878 | 44 | 64 | 453 | 23 | 34 | 0.23 |
Step 2: once we have above result.
I need median by date for each day
Date | |
11/1/2024 | |
11/2/2024 | |
11/3/2024 | |
11/4/2024 | |
11/5/2024 | |
11/6/2024 | |
11/7/2024 | 0.17 |
11/8/2024 | 0.08 |
11/9/2024 | 0.08 |
11/10/2024 | 0.02 |
Solved! Go to Solution.
STEP 1 is perfactly working but not step 2.
For each market, I have this "NSA_DCR_Median" value, now I need median for this values on daily level. "=MEDIAN(C2:C28)"
final result for below data should be (this example is only for one day.
PERIOD_START_TIME | NSA_DCR_Median |
11/30/2023 0:00 | 0.62 |
Data
PERIOD_START_TIME | MARKET | NSA_DCR_Median |
11/30/2023 0:00 | Albuquerque | 1.08 |
11/30/2023 0:00 | Atlanta | 0.58 |
11/30/2023 0:00 | Central PA | 0.37 |
11/30/2023 0:00 | Connecticut | 0.62 |
11/30/2023 0:00 | Hawaii | 0.66 |
11/30/2023 0:00 | Jacksonville | 0.45 |
11/30/2023 0:00 | LA North | 0.91 |
11/30/2023 0:00 | Las Vegas | 1.42 |
11/30/2023 0:00 | Long Island | 0.60 |
11/30/2023 0:00 | Los Angeles | 0.97 |
11/30/2023 0:00 | Miami | 0.64 |
11/30/2023 0:00 | New England | 0.60 |
11/30/2023 0:00 | New Jersey | 0.50 |
11/30/2023 0:00 | New York | 0.61 |
11/30/2023 0:00 | North Carolina | 0.75 |
11/30/2023 0:00 | Orlando | 0.46 |
11/30/2023 0:00 | Philadelphia | 0.57 |
11/30/2023 0:00 | Sacramento | 0.65 |
11/30/2023 0:00 | Salt Lake City | 0.86 |
11/30/2023 0:00 | San Diego | 0.69 |
11/30/2023 0:00 | San Francisco | 0.64 |
11/30/2023 0:00 | South Carolina | 0.57 |
11/30/2023 0:00 | Southern California | 1.01 |
11/30/2023 0:00 | Tampa | 0.61 |
11/30/2023 0:00 | Upstate NY | 0.88 |
11/30/2023 0:00 | Virginia | 0.62 |
11/30/2023 0:00 | Washington DC | 0.58 |
when I tried by calculating it from previous measure, it's not giving correct result.
I'm no longer interested in solving all your problems in this scenario.
thanks for your time and effort.
WHAT IS THIS AND WHERE IS COLUMN
G2:G8
=(SUM(C2:C8)+SUM(D2:D8)-SUM(E2:E8))/(SUM(F2:F8)+SUM(E2:E8))
Date | Market | A | B | C | D | E | F | Formula |
11/1/2024 | New Jersey | 12 | 345 | 33 | 54 | 66 | 442 | |
11/2/2024 | New Jersey | 34 | 575 | 2 | 244 | 345 | 22 | |
11/3/2024 | New Jersey | 442 | 23 | 223 | 64 | 41 | 66 | |
11/4/2024 | New Jersey | 22 | 45 | 44 | 33 | 432 | 345 | |
11/5/2024 | New Jersey | 66 | 7 | 356 | 2 | 345 | 41 | |
11/6/2024 | New Jersey | 345 | 54 | 634 | 223 | 575 | 432 | |
11/7/2024 | New Jersey | 41 | 244 | 546 | 66 | 23 | 345 | 0.17 |
11/8/2024 | New Jersey | 432 | 64 | 432 | 345 | 45 | 575 | 0.05 |
11/9/2024 | New Jersey | 345 | 33 | 345 | 41 | 7 | 23 | -0.12 |
11/10/2024 | New Jersey | 575 | 2 | 575 | 432 | 54 | 45 | -0.16 |
11/1/2024 | Boston | 23 | 223 | 23 | 345 | 244 | 7 | |
11/2/2024 | Boston | 45 | 66 | 45 | 575 | 64 | 54 | |
11/3/2024 | Boston | 7 | 345 | 7 | 23 | 345 | 244 | |
11/4/2024 | Boston | 54 | 41 | 54 | 45 | 575 | 64 | |
11/5/2024 | Boston | 244 | 432 | 244 | 66 | 23 | 33 | |
11/6/2024 | Boston | 64 | 345 | 223 | 345 | 45 | 2 | |
11/7/2024 | Boston | 33 | 575 | 44 | 41 | 7 | 546 | 0.89 |
11/8/2024 | Boston | 2 | 23 | 356 | 432 | 23 | 432 | 0.52 |
11/9/2024 | Boston | 223 | 45 | 634 | 44 | 45 | 345 | 0.34 |
11/10/2024 | Boston | 44 | 7 | 546 | 356 | 7 | 575 | 0.01 |
11/1/2024 | NYC | 356 | 23 | 674 | 634 | 54 | 23 | |
11/2/2024 | NYC | 634 | 45 | 634 | 546 | 223 | 45 | |
11/3/2024 | NYC | 546 | 7 | 546 | 432 | 44 | 7 | |
11/4/2024 | NYC | 674 | 54 | 674 | 345 | 356 | 54 | |
11/5/2024 | NYC | 345 | 244 | 345 | 575 | 634 | 244 | |
11/6/2024 | NYC | 56 | 64 | 56 | 432 | 546 | 223 | |
11/7/2024 | NYC | 565 | 33 | 565 | 345 | 432 | 44 | 0.02 |
11/8/2024 | NYC | 56 | 2 | 54 | 575 | 345 | 356 | 0.07 |
11/9/2024 | NYC | 56 | 223 | 244 | 23 | 575 | 634 | 0.08 |
11/10/2024 | NYC | 878 | 44 | 64 | 453 | 23 | 34 | 0.27 |
I have this type of data for 100 different Market. I need 7 days rolling by this formula for each market and then calculate Median based on values for each of market on daily basis.
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