ProductTestRaw: Data from product test of chocolate confectionary

In gdemin/cleanr: Tool for cleaning (checking) data from marketing/sociological studies.

Description

Rather artificial dataset is containing raw data from product test of two samples of chocolate sweets. 150 respondents tested two kinds of sweets (codenames: VSX123 and SDF546). Sample was divided into two groups (cells) of 75 respondents in each group. In cell 1 VSX123 was presented first and then SDF546. In cell 2 sweets were presented in reversed order. There are screening questions at the beginning of the questionnaire. Questions about respondent impressions about first product are in the block A (and about second tested product in the block B). At the end of the questionnaire there are questions about preferences between sweets. This dataset contains some errors in data. It used for examples in cleaning functions.

Usage

ProductTestRaw

Format

A data frame with 150 rows and 77 variables:

id

Respondent Id.

cell

First tested product (cell number).

s2a

Age.

s2b

Age category.

s4

Did you ever take part in a market survey?

s5

What was the matter of a survey?

s7_1-s7_2

Which of the following products do you not currently consume? Multiple response.

s8_1-s8_8

Did you consume any chocolate products over the past three months? If you did, which ones? Multiple response.

s9

How often did you consume boxed chocolate sweets over the past three months?

s10_1-s10_99

Which brands of boxed sweets did you consume over the past three months? Multiple response.

s11

Which brands of boxed sweets do you consume most often?

a1_1-a1_6

What did you like in these sweets? Multiple response. First tested product.

a2_1-a2_6

What did you dislike in these sweets? Multiple response. First tested product.

a3

Appearance of these sweets First tested product.

a4_1-a4_6

What did you dislike in the appearance of these sweets? Multiple response. First tested product.

a22

Overall liking. First tested product.

a23

Buying intention. First tested product.

b1_1-b1_6

What did you like in these sweets? Multiple response. Second tested product.

b2_1-b2_6

What did you dislike in these sweets? Multiple response. Second tested product.

b3

Appearance of these sweets. Second tested product.

b4_1-b4_6

What did you dislike in the appearance of these sweets? Multiple response. Second tested product.

b22

Overall liking. Second tested product.

b23

Buying intention. Second tested product.

c1

Preferences.

c2_1-c2_6

Reasons for preferences. Multiple response.

gdemin/cleanr documentation built on May 16, 2019, 11:14 p.m.