Read Your Qualtrics Data
read.Rmd📥 Read Your Data
Before you can reshape or analyze your conjoint survey data, you
first need to import it into R. In
projoint, use the read_Qualtrics()
function to quickly read properly formatted Qualtrics files.
🚀 Quick Workflow
1. Export your survey responses from Qualtrics
When exporting from Qualtrics:
- Click “Download Data”.
- Choose CSV format.
- Critically, select “Use choice text” rather than coded values.
3. Read your CSV file into R using read_Qualtrics()
# Example: If your file is located in a "data" folder
data <- read_Qualtrics("data/your_file.csv")Or, if using an example bundled with projoint:
# Inspect the imported data:
data## # A tibble: 518 × 218
## StartDate EndDate Status Progress
## <dttm> <dttm> <chr> <dbl>
## 1 2022-03-01 10:44:18 2022-03-01 10:44:43 IP Address 100
## 2 2022-03-01 10:44:06 2022-03-01 10:47:59 IP Address 100
## 3 2022-03-01 10:45:30 2022-03-01 10:49:03 IP Address 100
## 4 2022-03-01 10:52:18 2022-03-01 10:56:29 IP Address 100
## 5 2022-03-01 10:54:34 2022-03-01 10:57:30 IP Address 100
## 6 2022-03-01 10:56:51 2022-03-01 10:58:06 IP Address 100
## 7 2022-03-01 10:58:09 2022-03-01 11:00:45 IP Address 100
## 8 2022-03-01 11:01:43 2022-03-01 11:01:51 IP Address 100
## 9 2022-03-01 10:58:35 2022-03-01 11:03:44 IP Address 100
## 10 2022-03-01 11:00:14 2022-03-01 11:04:37 IP Address 100
## # ℹ 508 more rows
## # ℹ 214 more variables: `Duration (in seconds)` <dbl>, Finished <lgl>,
## # RecordedDate <dttm>, ResponseId <chr>, DistributionChannel <chr>,
## # UserLanguage <chr>, Q_RecaptchaScore <dbl>, Q1.2 <chr>, Q2.2 <chr>,
## # Q2.3 <chr>, Q2.4 <chr>, Q2.5 <chr>, Q2.6 <chr>, Q2.7 <chr>, Q2.8 <chr>,
## # Q2.9 <chr>, Q3.1 <chr>, Q4.2 <chr>, Q4.3 <chr>, Q4.4 <chr>, Q4.5 <chr>,
## # Q4.6 <chr>, Q4.7 <chr>, Q4.8 <chr>, Q4.9 <chr>, Q5.1 <chr>, Q6.1 <chr>, …🌟 What’s Next?
Now that your data is loaded, you’re ready to wrangle it into the correct format for analysis!
➡️ Continue to: Wrangle Your
Data
⬅️ Back to: Design Your
Survey
🏠 Home: Home