Dataset Types

When you upload a custom dataset, you must choose the correct dataset type. You can upload raw datasets, frequency tables, and contingency tables.

Raw dataset

A raw dataset is a list of observations that has not been analyzed or summarized.

Example: The clothing type, size, color, price, and brand for 109 clothing items sold.

Clothing type	Size	Color	Price	Brand
T-shirt	Small	Blue	10.50	A
Sweatshirt	Large	Blue	25.00	A
T-shirt	Medium	Green	11.75	B
Sweatpants	Medium	Black	26.95	A
Sweatshirt	Small	Red	19.99	B

Frequency table

A frequency table summarizes one categorical variable by listing the possible outcomes for the variable and the frequency of each outcome.

Example: Table summarizes "clothing type" for 109 clothing sales.

Clothing type	Frequency
T-shirt	32
Sweatshirt	54
Sweatpants	23

2-Way Contingency table

A contingency table summarizes two categorical variables by listing the possible outcomes and frequency of the outcomes for each variable. One variable is in rows, and the other is in columns. The table is used to study the relationship between the two variables.

Example: Table summarizes the variables 'item sold' and 'size' for 109 clothing sales.

	Small	Medium	Large
T-shirt	8	13	11
Sweatshirt	11	24	19
Sweatpants	5	9	9