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Analogues
This section contains 1010data analogues for Excel and SQL users.
1010data for Excel users
1010data can solve the same problems that you are used to solving in Excel in one or more ways. Sometimes there are direct translations between the two, and sometimes a unique solution is needed in order to arrive at the same result.
Calculations
Computing multiple cumulative sums
Cumulative sums can be useful to distinguish individual sums of several different groups.

Analogues
This section contains 1010data analogues for Excel and SQL users.
- 1010data for Excel users
  1010data can solve the same problems that you are used to solving in Excel in one or more ways. Sometimes there are direct translations between the two, and sometimes a unique solution is needed in order to arrive at the same result.
  - Introduction
  - Function comparisons
    You know how to use certain functions in Excel, but you want to know how to complete the same tasks using 1010data's functions. While some Excel functions have a direct match to a function in 1010data, others match to a combination of functions/operations. The following sections show some of the analogous functions between Excel and 1010data.
  - Calculations
    - Finding duplicates
      Sometimes tables contain duplicate entries and it can be necessary to locate and remove these duplicates.
    - Calculating the maximum and minimum values
      A single tabulation in 1010data can calculate the maximum and minimum values of a table.
    - Returning values based on location
      G_functions can return a selection of data based on the location of a specified value, similar to using MATCH and OFFSET in Excel.
    - Finding a value corresponding to the nth element
      Using the g_cumcnt function, you can find corresponding information related to a specific occurrence of a value, similar to using COUNTIF and VLOOKUP in Excel.
    - Finding corresponding data in different tables
      You can use a link and select to find information on a specified value contained in a separate table. This operation is similar to using LOOKUP and VLOOKUP to find corresponding information in a different worksheet.
    - Summing every other value
      Using the mod function makes it simple to sum every other value both in Excel and 1010data.
    - Summing over multiple conditions
      G_functions allow you to calculate multiple sums based on data meeting certain criteria, similar to SUMIFS in Excel.
    - Splitting and concatenating strings
      Using string manipulations can convert a column containing names to a column containing initials.
    - Determining if a data set contains a specified value
      There are various ways to determine if a specific value is contained within a data set, similar to using IF and OR in Excel.
    - Filtering and sorting a table
      Filtering and sorting the data in a table based on specified criteria can be useful for both completing aggregations and viewing the data.
    - Determining the differences between two data sets
      You can use 1010data to determine the number of differences between two tables, similar to using COUNTIF in Excel.
    - Computing multiple cumulative sums
      Cumulative sums can be useful to distinguish individual sums of several different groups.
  - Visualizations
- 1010data for SQL users
  1010data users have backgrounds using different programming languages, databases, and analytical tools. One of the most widely used tools for data is SQL. This section of the 1010data Cookbook was created to help the users with SQL background learn how to complete tasks in 1010data. Each analogue will describe a problem that the user knows how to complete in SQL, and then show how to solve the problem in 1010data.

Computing multiple cumulative sums

Cumulative sums can be useful to distinguish individual sums of several different groups.

Difficulty

Objective

You have a table consisting of sales transactions and you would like to compute the cumulative sum for each customer's purchase. You know how to do this in Excel using the SUMIF function, and you would like to perform the same operation using 1010data.

Excel solution

In Excel, you can compute a cumulative sum for each desired group using some manipulation of the SUMIF function. The below formula will produce a cumulative sum for each customer's purchase.

=SUMIF(A$2:A2,A2,F$2:F2)

And your resulting table should look like the following image.

A simple cumulative sum can be calculated using the SUM function, and using the Subtotal tool, you can obtain a sales subtotal for each transaction. However, in order to obtain a cumulative subtotal for each transaction, you need to manipulate the SUMIF function to compute an individual cumulative sum for each unique transaction number. 1010data's cumulative sum g_function, g_cumsum(G;S;O;X), allows you to calculate each transaction cumulative sum with one simple expression.

Additionally, with Excel you can only compute the cumulative sums for a subset of the transactions because the sales detail table in its entirety is too large for Excel. With 1010data, you can perform these operations on the entire table at a much faster speed.

1010data GUI solution

From the 1010data menu bar click Columns > Create Computed Column to open the dialog shown below.

In the text box that corresponds to Value Expression, enter the g_cumsum(G;S;O;X) function. The note section within the dialog relates that customer and transid must be used for the G argument. The S and O arguments are left blank and xsales is used for the X argument. Upon clicking Submit, the Sales Detail table will look like the worksheet seen below.

1010data Macro Language solution

The same results can be obtained by entering the following macro code into the Edit Actions dialog.

<base table="pub.doc.retail.altseg.sales_detail_transid"/>
<willbe name="csum" label="Cumulative Sum" value="g_cumsum(transid;;;xsales)"/>