# Tags: SUM

In this simple 3 column dataset, there are 2 accounts – Konto 1 and Konto 2.  Each account has a balance outstanding as on a certain date.  However, if you notice carefully, there is no balance for any account on January 4-5,9-10 2020. The objective is show the balance outstanding every day.  For days which […]

Here’s a simple dataset of Shampoo sales in the state of Rajasthan, India. For a chosen segment, one may want to segment the 4 towns based on the following conditions: Based on the two screenshots shared above, the desired result is shown in the screenshot below: The desired result is shown in range E16:E19 and […]

Assume a simple dataset as shown in the image below (the input data is in columns A and B only.  The desired outcome is in columns C and D). The objective is to calculate the 7 days rolling sum and average (as shown in columns C and D) ignoring blank cells.  So in cell C8, […]

In the dataset below column A has the Employee Name, column B and C are the assignment start and end dates, Column D is the location and columns E to J are the Month-Year columns.  So each row represents data for an employee on a particular project.  The numbers in range E2:J8 represent how much […]

Relative size factor (RSF) is a test to identify anomalies where the largest amount for subsets in a given key is outside the norm for those subsets. This test compares the top two amounts for each subset and calculates the RSF for each. In order to identify potential fraudulent activities in invoice payment data, one […]

In this simple 3 column dataset shown below, one can see the month wise demand and energy charge for 2 years – 2017 and 2018. The objective is to compute the month wise demand charge for x months ended a certain user defined Year and Month.  So, if a user selects the Year as 2018, […]

Assume a three column dataset with Patient ID, Smoking Status and Review Date PatientID SmokingStatus ReviewDate P1 10-03-2018 P1 9 09-03-2018 P1 1 08-03-2018 P1 4 07-03-2018 P2 9 10-03-2018 P2 9 09-03-2018 P2 9 08-03-2018 P2 9 07-03-2018 P3 2 10-03-2018 P3 09-03-2018 P3 9 08-03-2018 P4 9 10-03-2018 P4 1 09-03-2018 P4 4 […]