This section contains 1010data analogues for Excel and SQL 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.
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.
Sometimes tables contain duplicate entries and it can be necessary to locate and remove these duplicates.
A single tabulation in 1010data can calculate the maximum and minimum values of a table.
G_functions can return a selection of data based on the location of a specified value, similar to using MATCH and OFFSET in Excel.
MATCH
OFFSET
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.
g_cumcnt
COUNTIF
VLOOKUP
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.
LOOKUP
Using the mod function makes it simple to sum every other value both in Excel and 1010data.
mod
G_functions allow you to calculate multiple sums based on data meeting certain criteria, similar to SUMIFS in Excel.
SUMIFS
Using string manipulations can convert a column containing names to a column containing initials.
There are various ways to determine if a specific value is contained within a data set, similar to using IF and OR in Excel.
IF
OR
Filtering and sorting the data in a table based on specified criteria can be useful for both completing aggregations and viewing the data.
You can use 1010data to determine the number of differences between two tables, similar to using COUNTIF in Excel.
Cumulative sums can be useful to distinguish individual sums of several different groups.
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.