In order come understand how the civilization works, I collection data around it and then apply a bunch of sophisticated quantitative methods. A most these approaches expect data to be represented in data tables. When human being like me work-related with tables therefore much, we come up through lots of an elaborate words to describe all of the various parts of a table. Today, i hope to teach you what all of these various words mean.

You are watching: Data displayed in rows and columns is called a table

Rows and columns

Here"s a data table about the wealth and health of nations.

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It has a grid v a value in every of the rectangle-shaped boxes. Being this kind of grid, it has columns and also rows. This columns and rows median special things. *What we"re call "income per person" is technically gross-domestic product every capita, readjusted for purchasing power parity and also inflation. But don"t worry about that if that sounds like Greek.*

Rows

The very first line in that table states "Country", "Life Expectancy" and also "Income every Person". This heat is dubbed the "header", and we"ll get to the later. The remainder of the lines room all *rows*. A data table represents a arsenal of things, and each individual point is represented as a row. Because that example, the table above is around a collection of countries, therefore each heat is a country. I"ve copied it down right here again, this time highlighting among its three rows.

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It is quite crucial to recognize that each row is a country, for this reason we have a surname for this relationship; we say that nation is the the *statistical unit* in this data table.

**Synonyms**: Rows are additionally called *records*, *observations*, *trials* and also probably a bunch of various other things.

Columns

In this data table, we have recorded a bunch that information about each the wealth and also health of nations. Much more precisely, we have recorded the exact same sorts of information around each nation during the year 2012. The first box in every row contains the surname of the country, and the second box consists of the life expectancy for that country, and the third contains the revenue per person. Thus, every one of the values in a provided column are around the exact same sort that thing. Because that example, the 2nd column contains all of the life expectancies.

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**Synonyms**: Columns are also called *variables* and *features*. These words sound an extremely fancy, but they"re not; when a data scientist states "variable" or "feature", she"s simply using a sophisticated word because that "column".

Header

We usually indicate the surname of the columns in the *header*, i m sorry is emphasize below. This is how we know what each column means.

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Tidy data

I said over that "row" is a synonym because that "record", "observation" and "trial and also that "column" is a synonym because that "variable" and "feature". This isn"t *entirely* true. In mine mind, this truly space synonyms, however I"m sometimes given a data table the doesn"t look prefer this. You could make a data table whereby rows don"t correspond to records and also where columns don"t exchange mail to variables. Because that example, you might make a table where and also columns room records and rows are variables. Or you could make a table that includes a few rows that are statistics about the various other rows. I get puzzled when they I have tables favor this.

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There"s in reality a surname for this kind of data table; it"s referred to as *untidy* data, and also the first thing that I do when analyzing such a data table is convert it right into the *tidy* layout where each heat is one observation/trial/record and each pillar is a variable.

ReviewData scientists like to put things in tables.In the table, a row is a record/observation/trial, which coincides to the statistics unit of the dataset.In the table, a tower is a variable/feature.This layout the a table is dubbed "tidy data", and also data scientists choose their data to be tidy.Ask questions!

Data science has lots that words and concepts that often sound fancier than they yes, really are. What need to I call you about next?