---
dataMaid: yes
title: Codebook for select_data
subtitle: "Autogenerated data summary from dataMaid"
date: 2025-07-05 20:23:52.860522
output: pdf_document
geometry: margin=2cm
documentclass: article
header-includes:
  - \newcommand{\fullline}{\noindent\makebox[\linewidth]{\rule{\textwidth}{0.4pt}}}
  - \renewcommand\familydefault{\sfdefault}
  - \newcommand{\bminione}{\begin{minipage}{0.75 \textwidth}}
  - \newcommand{\bminitwo}{\begin{minipage}{0.25 \textwidth}}
  - \newcommand{\emini}{\end{minipage}}
---

```{r , echo=FALSE, include=FALSE, warning=FALSE, message=FALSE, error=FALSE}
library("ggplot2")
library("pander")
```

```{r 'visualFunctions', echo=FALSE, include=FALSE, warning=FALSE, message=FALSE, error=FALSE}
ggAggHist <- getFromNamespace("ggAggHist", "dataMaid")
ggAggBarplot <- getFromNamespace("ggAggBarplot", "dataMaid")
```

# Data report overview

The dataset examined has the following dimensions:

| Feature                | Result |
|:-----------------------|-------:|
| Number of observations |    122 |
| Number of variables    |     41 |

# Codebook summary table

| Label | Variable                 | Class     | \# unique values | Missing | Description |
|:-----------|:--------------|:-----------|-----------:|:----------:|:-----------|
|       | [**AGE**]                | integer   |               43 | 0.82 %  |             |
|       | [**EDUCATION**]          | integer   |                5 | 0.00 %  |             |
|       | [**SOCIALSTATUS**]       | integer   |                9 | 0.00 %  |             |
|       | [**INCOME**]             | integer   |                7 | 0.00 %  |             |
|       | [**RELIGIOUS_IDENTITY**] | character |                9 | 0.00 %  |             |
|       | [**RACE**]               | character |               14 | 0.00 %  |             |
|       | [**STREETRACE**]         | integer   |                8 | 1.64 %  |             |
|       | [**GENDER**]             | integer   |                3 | 0.00 %  |             |
|       | [**SEXUAL_IDENTITY**]    | integer   |                5 | 0.00 %  |             |
|       | [**POLITICALBELIEFS**]   | integer   |                7 | 1.64 %  |             |
|       | [**POLITICALAFFIL**]     | integer   |                6 | 15.57 % |             |
|       | [**VOTE2024**]           | integer   |                6 | 2.46 %  |             |
|       | [**SERIOUS**]            | integer   |                2 | 0.82 %  |             |
|       | [**POLITICALPARTY**]     | character |                3 | 0.00 %  |             |
|       | [**SEX**]                | character |                2 | 0.00 %  |             |
|       | [**ETHNICITY**]          | character |                4 | 0.00 %  |             |
|       | [**Nationality**]        | character |                1 | 0.00 %  |             |
|       | [**Student.status**]     | character |                3 | 0.00 %  |             |
|       | [**Employment.status**]  | character |                7 | 0.00 %  |             |
|       | [**ZEROSUM_1**]          | integer   |                7 | 0.00 %  |             |
|       | [**ZEROSUM_2**]          | integer   |                8 | 0.82 %  |             |
|       | [**ZEROSUM_3**]          | integer   |                8 | 0.82 %  |             |
|       | [**ZEROSUM_4**]          | integer   |                8 | 0.82 %  |             |
|       | [**ZEROSUM_5**]          | integer   |                7 | 0.00 %  |             |
|       | [**ZEROSUM_6**]          | integer   |                8 | 0.82 %  |             |
|       | [**ZEROSUM_7**]          | integer   |                8 | 1.64 %  |             |
|       | [**ZEROSUM_8**]          | integer   |                8 | 0.82 %  |             |
|       | [**ZEROSUM_9**]          | integer   |                8 | 0.82 %  |             |
|       | [**ZEROSUM_10**]         | integer   |                7 | 0.00 %  |             |
|       | [**ZEROSUM_11**]         | integer   |                8 | 0.82 %  |             |
|       | [**RACIALIDENTITY.6**]   | character |                6 | 0.00 %  |             |
|       | [**RACIALIDENTITY.4**]   | character |                4 | 0.00 %  |             |
|       | [**RACIALIDENTITY.2**]   | character |                2 | 0.00 %  |             |
|       | [**RI_White**]           | integer   |                2 | 0.00 %  |             |
|       | [**RI_Else**]            | integer   |                2 | 0.00 %  |             |
|       | [**GENDER_MALE**]        | integer   |                2 | 0.00 %  |             |
|       | [**RACE_BLACK**]         | integer   |                2 | 0.00 %  |             |
|       | [**RACE_ASIAN**]         | integer   |                2 | 0.00 %  |             |
|       | [**RACE_OTHER**]         | integer   |                2 | 0.00 %  |             |
|       | [**RELIGIOUS_YES**]      | integer   |                2 | 0.00 %  |             |
|       | [**EDUCATION_HIGH**]     | integer   |                2 | 0.00 %  |             |

# Variable list

## AGE

\bminione

| Feature                 |     Result |
|:------------------------|-----------:|
| Variable type           |    integer |
| Number of missing obs.  | 1 (0.82 %) |
| Number of unique values |         42 |
| Median                  |         33 |
| 1st and 3rd quartiles   |     27; 43 |
| Min. and max.           |     19; 73 |

\emini
\bminitwo

```{r 'Var-1-AGE', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = c(15L, 20L, 25L, 30L, 
35L, 40L, 45L, 50L, 55L, 60L, 65L, 70L), xmax = c(20L, 25L, 30L, 
35L, 40L, 45L, 50L, 55L, 60L, 65L, 70L, 75L), ymin = c(0, 0, 
0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(6L, 21L, 25L, 17L, 16L, 
9L, 6L, 9L, 6L, 2L, 2L, 2L)), class = "data.frame", row.names = c(NA, 
-12L)), vnam = "AGE")
```

\emini

\fullline

## EDUCATION

\bminione

| Feature                 |  Result |
|:------------------------|--------:|
| Variable type           | integer |
| Number of missing obs.  | 0 (0 %) |
| Number of unique values |       5 |
| Median                  |       5 |
| 1st and 3rd quartiles   |    4; 6 |
| Min. and max.           |    2; 6 |

\emini
\bminitwo

```{r 'Var-2-EDUCATION', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = c(2, 2.5, 3, 3.5, 4, 4.5, 
5, 5.5), xmax = c(2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6), ymin = c(0, 
0, 0, 0, 0, 0, 0, 0), ymax = c(8L, 21L, 0L, 7L, 0L, 46L, 0L, 
40L)), class = "data.frame", row.names = c(NA, -8L)), vnam = "EDUCATION")
```

\emini

\fullline

## SOCIALSTATUS

\bminione

| Feature                 |  Result |
|:------------------------|--------:|
| Variable type           | integer |
| Number of missing obs.  | 0 (0 %) |
| Number of unique values |       9 |
| Median                  |     5.5 |
| 1st and 3rd quartiles   |    4; 6 |
| Min. and max.           |    1; 9 |

\emini
\bminitwo

```{r 'Var-3-SOCIALSTATUS', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = 1:8, xmax = 2:9, ymin = c(0, 
0, 0, 0, 0, 0, 0, 0), ymax = c(7L, 15L, 16L, 23L, 31L, 18L, 9L, 
3L)), class = "data.frame", row.names = c(NA, -8L)), vnam = "SOCIALSTATUS")
```

\emini

\fullline

## INCOME

\bminione

| Feature                 |  Result |
|:------------------------|--------:|
| Variable type           | integer |
| Number of missing obs.  | 0 (0 %) |
| Number of unique values |       7 |
| Median                  |       4 |
| 1st and 3rd quartiles   |    2; 5 |
| Min. and max.           |    1; 7 |

\emini
\bminitwo

```{r 'Var-4-INCOME', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = 1:6, xmax = 2:7, ymin = c(0, 
0, 0, 0, 0, 0), ymax = c(37L, 22L, 14L, 36L, 11L, 2L)), class = "data.frame", row.names = c(NA, 
-6L)), vnam = "INCOME")
```

\emini

\fullline

## RELIGIOUS_IDENTITY

\bminione

| Feature                 |    Result |
|:------------------------|----------:|
| Variable type           | character |
| Number of missing obs.  |   0 (0 %) |
| Number of unique values |         9 |
| Mode                    |       "1" |

\emini
\bminitwo

```{r 'Var-5-RELIGIOUS-IDENTITY', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggBarplot(data = structure(list(x = structure(1:9, levels = c("-99", 
"1", "2", "4", "5,9", "6", "7", "8", "9"), class = "factor"), 
    y = c(3L, 65L, 2L, 2L, 1L, 1L, 1L, 4L, 43L)), class = "data.frame", row.names = c(NA, 
-9L)), vnam = "RELIGIOUS_IDENTITY")
```

\emini

-   Observed factor levels: "-99", "1", "2", "4", "5,9", "6", "7", "8", "9".

\fullline

## RACE

\bminione

| Feature                 |    Result |
|:------------------------|----------:|
| Variable type           | character |
| Number of missing obs.  |   0 (0 %) |
| Number of unique values |        14 |
| Mode                    |       "7" |

\emini
\bminitwo

```{r 'Var-6-RACE', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggBarplot(data = structure(list(x = structure(1:14, levels = c("1,7", 
"2", "2,3", "2,7", "3", "3,4,7", "3,6", "3,7", "4", "4,7", "5", 
"6", "7", "8"), class = "factor"), y = c(2L, 23L, 1L, 2L, 28L, 
1L, 1L, 2L, 9L, 1L, 1L, 1L, 49L, 1L)), class = "data.frame", row.names = c(NA, 
-14L)), vnam = "RACE")
```

\emini

-   Observed factor levels: "1,7", "2", "2,3", "2,7", "3", "3,4,7", "3,6", "3,7", "4", "4,7", "5", "6", "7", "8".

\fullline

## STREETRACE

\bminione

| Feature                 |     Result |
|:------------------------|-----------:|
| Variable type           |    integer |
| Number of missing obs.  | 2 (1.64 %) |
| Number of unique values |          7 |
| Median                  |          3 |
| 1st and 3rd quartiles   |       3; 5 |
| Min. and max.           |       1; 8 |

\emini
\bminitwo

```{r 'Var-7-STREETRACE', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = 1:7, xmax = 2:8, ymin = c(0, 
0, 0, 0, 0, 0, 0), ymax = c(24L, 54L, 7L, 30L, 0L, 4L, 1L)), class = "data.frame", row.names = c(NA, 
-7L)), vnam = "STREETRACE")
```

\emini

\fullline

## GENDER

\bminione

| Feature                 |  Result |
|:------------------------|--------:|
| Variable type           | integer |
| Number of missing obs.  | 0 (0 %) |
| Number of unique values |       3 |
| Median                  |       2 |
| 1st and 3rd quartiles   |    1; 2 |
| Min. and max.           |    1; 3 |

\emini
\bminitwo

```{r 'Var-8-GENDER', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = c(1, 1.2, 1.4, 1.6, 1.8, 
2, 2.2, 2.4, 2.6, 2.8), xmax = c(1.2, 1.4, 1.6, 1.8, 2, 2.2, 
2.4, 2.6, 2.8, 3), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(58L, 
0L, 0L, 0L, 60L, 0L, 0L, 0L, 0L, 4L)), class = "data.frame", row.names = c(NA, 
-10L)), vnam = "GENDER")
```

\emini

\fullline

## SEXUAL_IDENTITY

\bminione

| Feature                 |  Result |
|:------------------------|--------:|
| Variable type           | integer |
| Number of missing obs.  | 0 (0 %) |
| Number of unique values |       5 |
| Median                  |       1 |
| 1st and 3rd quartiles   |    1; 2 |
| Min. and max.           |    1; 5 |

\emini
\bminitwo

```{r 'Var-9-SEXUAL-IDENTITY', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = c(1, 1.5, 2, 2.5, 3, 3.5, 
4, 4.5), xmax = c(1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5), ymin = c(0, 
0, 0, 0, 0, 0, 0, 0), ymax = c(85L, 10L, 0L, 22L, 0L, 4L, 0L, 
1L)), class = "data.frame", row.names = c(NA, -8L)), vnam = "SEXUAL_IDENTITY")
```

\emini

\fullline

## POLITICALBELIEFS

\bminione

| Feature                 |     Result |
|:------------------------|-----------:|
| Variable type           |    integer |
| Number of missing obs.  | 2 (1.64 %) |
| Number of unique values |          6 |
| Median                  |          4 |
| 1st and 3rd quartiles   |       3; 5 |
| Min. and max.           |       1; 6 |

\emini
\bminitwo

```{r 'Var-10-POLITICALBELIEFS', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = c(1, 1.5, 2, 2.5, 3, 3.5, 
4, 4.5, 5, 5.5), xmax = c(1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 
6), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(7L, 17L, 
0L, 32L, 0L, 27L, 0L, 27L, 0L, 10L)), class = "data.frame", row.names = c(NA, 
-10L)), vnam = "POLITICALBELIEFS")
```

\emini

\fullline

## POLITICALAFFIL

\bminione

| Feature                 |       Result |
|:------------------------|-------------:|
| Variable type           |      integer |
| Number of missing obs.  | 19 (15.57 %) |
| Number of unique values |            5 |
| Median                  |            2 |
| 1st and 3rd quartiles   |         2; 4 |
| Min. and max.           |         1; 5 |

\emini
\bminitwo

```{r 'Var-11-POLITICALAFFIL', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = c(1, 1.5, 2, 2.5, 3, 3.5, 
4, 4.5), xmax = c(1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5), ymin = c(0, 
0, 0, 0, 0, 0, 0, 0), ymax = c(9L, 52L, 0L, 8L, 0L, 33L, 0L, 
1L)), class = "data.frame", row.names = c(NA, -8L)), vnam = "POLITICALAFFIL")
```

\emini

\fullline

## VOTE2024

\bminione

| Feature                 |     Result |
|:------------------------|-----------:|
| Variable type           |    integer |
| Number of missing obs.  | 3 (2.46 %) |
| Number of unique values |          5 |
| Median                  |          2 |
| 1st and 3rd quartiles   |       1; 2 |
| Min. and max.           |       1; 8 |

\emini
\bminitwo

```{r 'Var-12-VOTE2024', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = 1:7, xmax = 2:8, ymin = c(0, 
0, 0, 0, 0, 0, 0), ymax = c(101L, 0L, 0L, 1L, 0L, 1L, 16L)), class = "data.frame", row.names = c(NA, 
-7L)), vnam = "VOTE2024")
```

\emini

\fullline

## SERIOUS

-   The variable only takes one (non-missing) value: "1". The variable contains 0.82 % missing observations.

\fullline

## POLITICALPARTY

\bminione

| Feature                 |     Result |
|:------------------------|-----------:|
| Variable type           |  character |
| Number of missing obs.  |    0 (0 %) |
| Number of unique values |          3 |
| Mode                    | "Democrat" |

\emini
\bminitwo

```{r 'Var-14-POLITICALPARTY', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggBarplot(data = structure(list(x = structure(1:3, levels = c("Democrat", 
"Independent", "Republican"), class = "factor"), y = c(43L, 40L, 
39L)), class = "data.frame", row.names = c(NA, -3L)), vnam = "POLITICALPARTY")
```

\emini

-   Observed factor levels: "Democrat", "Independent", "Republican".

\fullline

## SEX

\bminione

| Feature                 |    Result |
|:------------------------|----------:|
| Variable type           | character |
| Number of missing obs.  |   0 (0 %) |
| Number of unique values |         2 |
| Mode                    |    "Male" |

\emini
\bminitwo

```{r 'Var-15-SEX', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggBarplot(data = structure(list(x = structure(1:2, levels = c("Female", 
"Male"), class = "factor"), y = c(59L, 63L)), class = "data.frame", row.names = c(NA, 
-2L)), vnam = "SEX")
```

\emini

-   Observed factor levels: "Female", "Male".

\fullline

## ETHNICITY

\bminione

| Feature                 |    Result |
|:------------------------|----------:|
| Variable type           | character |
| Number of missing obs.  |   0 (0 %) |
| Number of unique values |         4 |
| Mode                    |   "White" |

\emini
\bminitwo

```{r 'Var-16-ETHNICITY', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggBarplot(data = structure(list(x = structure(1:4, levels = c("Asian", 
"Black", "Mixed/Other", "White"), class = "factor"), y = c(24L, 
25L, 25L, 48L)), class = "data.frame", row.names = c(NA, -4L)), 
    vnam = "ETHNICITY")
```

\emini

-   Observed factor levels: "Asian", "Black", "Mixed/Other", "White".

\fullline

## Nationality

-   The variable only takes one (non-missing) value: "United States". The variable contains 0 % missing observations.

\fullline

## Student.status

\bminione

| Feature                 |    Result |
|:------------------------|----------:|
| Variable type           | character |
| Number of missing obs.  |   0 (0 %) |
| Number of unique values |         3 |
| Mode                    |      "No" |

\emini
\bminitwo

```{r 'Var-18-Student-status', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggBarplot(data = structure(list(x = structure(1:3, levels = c("DATA_EXPIRED", 
"No", "Yes"), class = "factor"), y = c(18L, 74L, 30L)), class = "data.frame", row.names = c(NA, 
-3L)), vnam = "Student.status")
```

\emini

-   Observed factor levels: "DATA_EXPIRED", "No", "Yes".

\fullline

## Employment.status

\bminione

| Feature                 |      Result |
|:------------------------|------------:|
| Variable type           |   character |
| Number of missing obs.  |     0 (0 %) |
| Number of unique values |           7 |
| Mode                    | "Full-Time" |

\emini
\bminitwo

```{r 'Var-19-Employment-status', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggBarplot(data = structure(list(x = structure(1:7, levels = c("DATA_EXPIRED", 
"Due to start a new job within the next month", "Full-Time", 
"Not in paid work (e.g. homemaker', 'retired or disabled)", "Other", 
"Part-Time", "Unemployed (and job seeking)"), class = "factor"), 
    y = c(17L, 1L, 50L, 10L, 3L, 29L, 12L)), class = "data.frame", row.names = c(NA, 
-7L)), vnam = "Employment.status")
```

\emini

-   Observed factor levels: "DATA_EXPIRED", "Due to start a new job within the next month", "Full-Time", "Not in paid work (e.g. homemaker', 'retired or disabled)", "Other", "Part-Time", "Unemployed (and job seeking)".

\fullline

## ZEROSUM_1

\bminione

| Feature                 |  Result |
|:------------------------|--------:|
| Variable type           | integer |
| Number of missing obs.  | 0 (0 %) |
| Number of unique values |       7 |
| Median                  |       4 |
| 1st and 3rd quartiles   | 2.25; 5 |
| Min. and max.           |    1; 7 |

\emini
\bminitwo

```{r 'Var-20-ZEROSUM-1', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = 1:6, xmax = 2:7, ymin = c(0, 
0, 0, 0, 0, 0), ymax = c(31L, 15L, 21L, 31L, 18L, 6L)), class = "data.frame", row.names = c(NA, 
-6L)), vnam = "ZEROSUM_1")
```

\emini

\fullline

## ZEROSUM_2

\bminione

| Feature                 |     Result |
|:------------------------|-----------:|
| Variable type           |    integer |
| Number of missing obs.  | 1 (0.82 %) |
| Number of unique values |          7 |
| Median                  |          5 |
| 1st and 3rd quartiles   |       4; 6 |
| Min. and max.           |       1; 7 |

\emini
\bminitwo

```{r 'Var-21-ZEROSUM-2', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = 1:6, xmax = 2:7, ymin = c(0, 
0, 0, 0, 0, 0), ymax = c(12L, 11L, 25L, 35L, 18L, 20L)), class = "data.frame", row.names = c(NA, 
-6L)), vnam = "ZEROSUM_2")
```

\emini

\fullline

## ZEROSUM_3

\bminione

| Feature                 |     Result |
|:------------------------|-----------:|
| Variable type           |    integer |
| Number of missing obs.  | 1 (0.82 %) |
| Number of unique values |          7 |
| Median                  |          5 |
| 1st and 3rd quartiles   |       4; 6 |
| Min. and max.           |       1; 7 |

\emini
\bminitwo

```{r 'Var-22-ZEROSUM-3', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = 1:6, xmax = 2:7, ymin = c(0, 
0, 0, 0, 0, 0), ymax = c(10L, 7L, 26L, 35L, 23L, 20L)), class = "data.frame", row.names = c(NA, 
-6L)), vnam = "ZEROSUM_3")
```

\emini

\fullline

## ZEROSUM_4

\bminione

| Feature                 |     Result |
|:------------------------|-----------:|
| Variable type           |    integer |
| Number of missing obs.  | 1 (0.82 %) |
| Number of unique values |          7 |
| Median                  |          3 |
| 1st and 3rd quartiles   |       1; 4 |
| Min. and max.           |       1; 7 |

\emini
\bminitwo

```{r 'Var-23-ZEROSUM-4', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = 1:6, xmax = 2:7, ymin = c(0, 
0, 0, 0, 0, 0), ymax = c(47L, 23L, 24L, 17L, 8L, 2L)), class = "data.frame", row.names = c(NA, 
-6L)), vnam = "ZEROSUM_4")
```

\emini

\fullline

## ZEROSUM_5

\bminione

| Feature                 |  Result |
|:------------------------|--------:|
| Variable type           | integer |
| Number of missing obs.  | 0 (0 %) |
| Number of unique values |       7 |
| Median                  |       3 |
| 1st and 3rd quartiles   |    1; 4 |
| Min. and max.           |    1; 7 |

\emini
\bminitwo

```{r 'Var-24-ZEROSUM-5', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = 1:6, xmax = 2:7, ymin = c(0, 
0, 0, 0, 0, 0), ymax = c(55L, 25L, 20L, 9L, 11L, 2L)), class = "data.frame", row.names = c(NA, 
-6L)), vnam = "ZEROSUM_5")
```

\emini

\fullline

## ZEROSUM_6

\bminione

| Feature                 |     Result |
|:------------------------|-----------:|
| Variable type           |    integer |
| Number of missing obs.  | 1 (0.82 %) |
| Number of unique values |          7 |
| Median                  |          3 |
| 1st and 3rd quartiles   |       1; 5 |
| Min. and max.           |       1; 7 |

\emini
\bminitwo

```{r 'Var-25-ZEROSUM-6', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = 1:6, xmax = 2:7, ymin = c(0, 
0, 0, 0, 0, 0), ymax = c(47L, 15L, 17L, 16L, 17L, 9L)), class = "data.frame", row.names = c(NA, 
-6L)), vnam = "ZEROSUM_6")
```

\emini

\fullline

## ZEROSUM_7

\bminione

| Feature                 |     Result |
|:------------------------|-----------:|
| Variable type           |    integer |
| Number of missing obs.  | 2 (1.64 %) |
| Number of unique values |          7 |
| Median                  |          4 |
| 1st and 3rd quartiles   |       2; 5 |
| Min. and max.           |       1; 7 |

\emini
\bminitwo

```{r 'Var-26-ZEROSUM-7', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = 1:6, xmax = 2:7, ymin = c(0, 
0, 0, 0, 0, 0), ymax = c(40L, 13L, 27L, 26L, 7L, 7L)), class = "data.frame", row.names = c(NA, 
-6L)), vnam = "ZEROSUM_7")
```

\emini

\fullline

## ZEROSUM_8

\bminione

| Feature                 |     Result |
|:------------------------|-----------:|
| Variable type           |    integer |
| Number of missing obs.  | 1 (0.82 %) |
| Number of unique values |          7 |
| Median                  |          3 |
| 1st and 3rd quartiles   |       1; 4 |
| Min. and max.           |       1; 7 |

\emini
\bminitwo

```{r 'Var-27-ZEROSUM-8', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = 1:6, xmax = 2:7, ymin = c(0, 
0, 0, 0, 0, 0), ymax = c(48L, 26L, 25L, 16L, 4L, 2L)), class = "data.frame", row.names = c(NA, 
-6L)), vnam = "ZEROSUM_8")
```

\emini

\fullline

## ZEROSUM_9

\bminione

| Feature                 |     Result |
|:------------------------|-----------:|
| Variable type           |    integer |
| Number of missing obs.  | 1 (0.82 %) |
| Number of unique values |          7 |
| Median                  |          2 |
| 1st and 3rd quartiles   |       1; 4 |
| Min. and max.           |       1; 7 |

\emini
\bminitwo

```{r 'Var-28-ZEROSUM-9', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = 1:6, xmax = 2:7, ymin = c(0, 
0, 0, 0, 0, 0), ymax = c(67L, 17L, 16L, 13L, 5L, 3L)), class = "data.frame", row.names = c(NA, 
-6L)), vnam = "ZEROSUM_9")
```

\emini

\fullline

## ZEROSUM_10

\bminione

| Feature                 |  Result |
|:------------------------|--------:|
| Variable type           | integer |
| Number of missing obs.  | 0 (0 %) |
| Number of unique values |       7 |
| Median                  |       3 |
| 1st and 3rd quartiles   |    1; 5 |
| Min. and max.           |    1; 7 |

\emini
\bminitwo

```{r 'Var-29-ZEROSUM-10', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = 1:6, xmax = 2:7, ymin = c(0, 
0, 0, 0, 0, 0), ymax = c(45L, 23L, 21L, 19L, 13L, 1L)), class = "data.frame", row.names = c(NA, 
-6L)), vnam = "ZEROSUM_10")
```

\emini

\fullline

## ZEROSUM_11

\bminione

| Feature                 |     Result |
|:------------------------|-----------:|
| Variable type           |    integer |
| Number of missing obs.  | 1 (0.82 %) |
| Number of unique values |          7 |
| Median                  |          3 |
| 1st and 3rd quartiles   |       2; 4 |
| Min. and max.           |       1; 7 |

\emini
\bminitwo

```{r 'Var-30-ZEROSUM-11', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = 1:6, xmax = 2:7, ymin = c(0, 
0, 0, 0, 0, 0), ymax = c(49L, 18L, 26L, 13L, 13L, 2L)), class = "data.frame", row.names = c(NA, 
-6L)), vnam = "ZEROSUM_11")
```

\emini

\fullline

## RACIALIDENTITY.6

\bminione

| Feature                 |    Result |
|:------------------------|----------:|
| Variable type           | character |
| Number of missing obs.  |   0 (0 %) |
| Number of unique values |         6 |
| Mode                    |   "White" |

\emini
\bminitwo

```{r 'Var-31-RACIALIDENTITY-6', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggBarplot(data = structure(list(x = structure(1:6, levels = c("Asian", 
"Black", "Latine", "Mixed", "Other", "White"), class = "factor"), 
    y = c(23L, 28L, 9L, 10L, 3L, 49L)), class = "data.frame", row.names = c(NA, 
-6L)), vnam = "RACIALIDENTITY.6")
```

\emini

-   Observed factor levels: "Asian", "Black", "Latine", "Mixed", "Other", "White".

\fullline

## RACIALIDENTITY.4

\bminione

| Feature                 |    Result |
|:------------------------|----------:|
| Variable type           | character |
| Number of missing obs.  |   0 (0 %) |
| Number of unique values |         4 |
| Mode                    |   "White" |

\emini
\bminitwo

```{r 'Var-32-RACIALIDENTITY-4', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggBarplot(data = structure(list(x = structure(1:4, levels = c("Asian", 
"Black", "Mixed/Other", "White"), class = "factor"), y = c(23L, 
28L, 22L, 49L)), class = "data.frame", row.names = c(NA, -4L)), 
    vnam = "RACIALIDENTITY.4")
```

\emini

-   Observed factor levels: "Asian", "Black", "Mixed/Other", "White".

\fullline

## RACIALIDENTITY.2

\bminione

| Feature                 |    Result |
|:------------------------|----------:|
| Variable type           | character |
| Number of missing obs.  |   0 (0 %) |
| Number of unique values |         2 |
| Mode                    |    "Else" |

\emini
\bminitwo

```{r 'Var-33-RACIALIDENTITY-2', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggBarplot(data = structure(list(x = structure(1:2, levels = c("Else", 
"White"), class = "factor"), y = c(73L, 49L)), class = "data.frame", row.names = c(NA, 
-2L)), vnam = "RACIALIDENTITY.2")
```

\emini

-   Observed factor levels: "Else", "White".

\fullline

## RI_White

\bminione

| Feature                 |  Result |
|:------------------------|--------:|
| Variable type           | integer |
| Number of missing obs.  | 0 (0 %) |
| Number of unique values |       2 |
| Median                  |       0 |
| 1st and 3rd quartiles   |    0; 1 |
| Min. and max.           |    0; 1 |

\emini
\bminitwo

```{r 'Var-34-RI-White', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = c(0, 0.1, 0.2, 0.3, 0.4, 
0.5, 0.6, 0.7, 0.8, 0.9), xmax = c(0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 
0.7, 0.8, 0.9, 1), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(73L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 49L)), class = "data.frame", row.names = c(NA, 
-10L)), vnam = "RI_White")
```

\emini

\fullline

## RI_Else

\bminione

| Feature                 |  Result |
|:------------------------|--------:|
| Variable type           | integer |
| Number of missing obs.  | 0 (0 %) |
| Number of unique values |       2 |
| Median                  |       1 |
| 1st and 3rd quartiles   |    0; 1 |
| Min. and max.           |    0; 1 |

\emini
\bminitwo

```{r 'Var-35-RI-Else', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = c(0, 0.1, 0.2, 0.3, 0.4, 
0.5, 0.6, 0.7, 0.8, 0.9), xmax = c(0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 
0.7, 0.8, 0.9, 1), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(49L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 73L)), class = "data.frame", row.names = c(NA, 
-10L)), vnam = "RI_Else")
```

\emini

\fullline

## GENDER_MALE

\bminione

| Feature                 |  Result |
|:------------------------|--------:|
| Variable type           | integer |
| Number of missing obs.  | 0 (0 %) |
| Number of unique values |       2 |
| Median                  |       1 |
| 1st and 3rd quartiles   |    0; 1 |
| Min. and max.           |    0; 1 |

\emini
\bminitwo

```{r 'Var-36-GENDER-MALE', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = c(0, 0.1, 0.2, 0.3, 0.4, 
0.5, 0.6, 0.7, 0.8, 0.9), xmax = c(0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 
0.7, 0.8, 0.9, 1), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(59L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 63L)), class = "data.frame", row.names = c(NA, 
-10L)), vnam = "GENDER_MALE")
```

\emini

\fullline

## RACE_BLACK

\bminione

| Feature                 |  Result |
|:------------------------|--------:|
| Variable type           | integer |
| Number of missing obs.  | 0 (0 %) |
| Number of unique values |       2 |
| Median                  |       0 |
| 1st and 3rd quartiles   |    0; 0 |
| Min. and max.           |    0; 1 |

\emini
\bminitwo

```{r 'Var-37-RACE-BLACK', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = c(0, 0.1, 0.2, 0.3, 0.4, 
0.5, 0.6, 0.7, 0.8, 0.9), xmax = c(0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 
0.7, 0.8, 0.9, 1), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(94L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 28L)), class = "data.frame", row.names = c(NA, 
-10L)), vnam = "RACE_BLACK")
```

\emini

\fullline

## RACE_ASIAN

\bminione

| Feature                 |  Result |
|:------------------------|--------:|
| Variable type           | integer |
| Number of missing obs.  | 0 (0 %) |
| Number of unique values |       2 |
| Median                  |       0 |
| 1st and 3rd quartiles   |    0; 0 |
| Min. and max.           |    0; 1 |

\emini
\bminitwo

```{r 'Var-38-RACE-ASIAN', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = c(0, 0.1, 0.2, 0.3, 0.4, 
0.5, 0.6, 0.7, 0.8, 0.9), xmax = c(0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 
0.7, 0.8, 0.9, 1), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(99L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 23L)), class = "data.frame", row.names = c(NA, 
-10L)), vnam = "RACE_ASIAN")
```

\emini

\fullline

## RACE_OTHER

\bminione

| Feature                 |  Result |
|:------------------------|--------:|
| Variable type           | integer |
| Number of missing obs.  | 0 (0 %) |
| Number of unique values |       2 |
| Median                  |       0 |
| 1st and 3rd quartiles   |    0; 0 |
| Min. and max.           |    0; 1 |

\emini
\bminitwo

```{r 'Var-39-RACE-OTHER', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = c(0, 0.1, 0.2, 0.3, 0.4, 
0.5, 0.6, 0.7, 0.8, 0.9), xmax = c(0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 
0.7, 0.8, 0.9, 1), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(100L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 22L)), class = "data.frame", row.names = c(NA, 
-10L)), vnam = "RACE_OTHER")
```

\emini

\fullline

## RELIGIOUS_YES

\bminione

| Feature                 |  Result |
|:------------------------|--------:|
| Variable type           | integer |
| Number of missing obs.  | 0 (0 %) |
| Number of unique values |       2 |
| Median                  |       1 |
| 1st and 3rd quartiles   |    0; 1 |
| Min. and max.           |    0; 1 |

\emini
\bminitwo

```{r 'Var-40-RELIGIOUS-YES', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = c(0, 0.1, 0.2, 0.3, 0.4, 
0.5, 0.6, 0.7, 0.8, 0.9), xmax = c(0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 
0.7, 0.8, 0.9, 1), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(47L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 75L)), class = "data.frame", row.names = c(NA, 
-10L)), vnam = "RELIGIOUS_YES")
```

\emini

\fullline

## EDUCATION_HIGH

\bminione

| Feature                 |  Result |
|:------------------------|--------:|
| Variable type           | integer |
| Number of missing obs.  | 0 (0 %) |
| Number of unique values |       2 |
| Median                  |       1 |
| 1st and 3rd quartiles   |    0; 1 |
| Min. and max.           |    0; 1 |

\emini
\bminitwo

```{r 'Var-41-EDUCATION-HIGH', echo=FALSE, fig.width=4, fig.height=3, message=FALSE, warning=FALSE}
ggAggHist(data = structure(list(xmin = c(0, 0.1, 0.2, 0.3, 0.4, 
0.5, 0.6, 0.7, 0.8, 0.9), xmax = c(0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 
0.7, 0.8, 0.9, 1), ymin = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0), ymax = c(36L, 
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 86L)), class = "data.frame", row.names = c(NA, 
-10L)), vnam = "EDUCATION_HIGH")
```

\emini

\fullline

Report generation information:

-   Created by: Could not determine from system (username: `r2672606`).

-   Report creation time: Sat Jul 05 2025 20:23:53

-   Report was run from directory: `/cloud/project`

-   dataMaid v1.4.2 [Pkg: 2025-04-13 from RSPM (R 4.3.0)]

-   R version 4.3.3 (2024-02-29).

-   Platform: x86_64-pc-linux-gnu (64-bit)(UTC).

-   Function call: `dataMaid::makeDataReport(data = select_data, render = TRUE, mode = c("summarize",  "visualize", "check"), smartNum = FALSE, file = "select_data_codebook",      replace = TRUE, checks = list(character = "showAllFactorLevels",          factor = "showAllFactorLevels", labelled = "showAllFactorLevels",          haven_labelled = "showAllFactorLevels", numeric = NULL,          integer = NULL, logical = NULL, Date = NULL), listChecks = FALSE,      maxProbVals = Inf, codebook = TRUE, reportTitle = "Codebook for select_data")`
