Murphy Data Cleaning
Stella BooydeGraaff
2024-08-18 14:58:29
Last updated: 2024-08-18
Checks: 6 1
Knit directory: PODFRIDGE/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| Rmd | a7c07a3 | Stella-Joy | 2024-08-17 | Updates to murphy data visualizations |
| html | a7c07a3 | Stella-Joy | 2024-08-17 | Updates to murphy data visualizations |
| Rmd | 5e8c277 | Stella-Joy | 2024-08-16 | More race Graphs |
| Rmd | 1131bc8 | Stella-Joy | 2024-08-15 | Creating Race Visuals |
| Rmd | 883cdaa | Stella-Joy | 2024-08-09 | Fixed data cleaning |
| Rmd | e8cab2f | Stella-Joy | 2024-08-08 | visualizations for sex and offender_type |
| html | bdc3293 | linmatch | 2024-07-29 | update child_distribution plot |
| Rmd | 5434bd4 | linmatch | 2024-07-25 | fix pipe |
| Rmd | 6cc6921 | linmatch | 2024-07-25 | calculate total by sex |
| Rmd | 1971685 | Stella-Joy | 2024-07-25 | fix male / female issue, start visualizing sex |
| Rmd | 66a01cb | Stella-Joy | 2024-07-25 | Remove root.dir |
| html | 66a01cb | Stella-Joy | 2024-07-25 | Remove root.dir |
| Rmd | 5d0cc04 | Stella-Joy | 2024-07-25 | Cleaned data |
| Rmd | 81560c5 | Stella-Joy | 2024-07-25 | Stella commit |
| html | 8800e0e | Stella-Joy | 2024-07-20 | Update murphy.html |
| Rmd | d0fa29a | Alec Yueh | 2024-07-17 | Murphy Data |
| html | d0fa29a | Alec Yueh | 2024-07-17 | Murphy Data |
| Rmd | a2f6579 | Alec Yueh | 2024-07-08 | created Murphy page |
| html | a2f6579 | Alec Yueh | 2024-07-08 | created Murphy page |
Visualizations of State DNA Databases
Below is a small sample of the data set used to create these visualizations.
| State | variable_detailed | variable_type | value | value_type |
|---|---|---|---|---|
| Alabama | white_state | race | 0.660 | proportion |
| California | male_convicted_offender | sex | 1603222.000 | number |
| Rhode_Island | white_annual | race | 0.543 | proportion |
| Delaware | hispanic_annual | race | 0.056 | proportion |
| South Dakota | native_american_total | race | 14593.000 | number |
Data on Sex
The following bar chart shows the gender breakdown of the state DNA databases.
| Version | Author | Date |
|---|---|---|
| a7c07a3 | Stella-Joy | 2024-08-17 |
Data on Offender Type
The following pie chart shows a summary of the proportions of arrestees and convicted offenders in the state DNA databases.
Data on Race
State Demographics
Below are some summary statistics of the racial demographics of each state’s total population.
| State | percentage |
|---|---|
| Mississippi | 37.6 |
| Louisiana | 32.5 |
| Georgia | 31.7 |
| State | percentage |
|---|---|
| Montana | 0.6 |
| Idaho | 0.8 |
| Utah | 1.3 |
And below is the average proportion of Black people in a state and the average proportion of Black people in a state’s DNA database.
| average_proportion |
|---|
| 10.96 |
| average_proportion |
|---|
| 20.93429 |
On average, Black Americans make up 10.96% of their state, but 20.93% of their state’s DNA database, displaying the racial disparities in these databases.
Race Totals
The following bar chart displays the proportions of each race in a state’s DNA database.
| Version | Author | Date |
|---|---|---|
| a7c07a3 | Stella-Joy | 2024-08-17 |
Despite White Americans usually making up the majority of the population in the database, there is still a significant disparity present in this data. Comparing this to a graph of the racial breakdown of the total population in each of these states uncovers that Black Americans and other people of color are over represented in their state’s database.
| Version | Author | Date |
|---|---|---|
| a7c07a3 | Stella-Joy | 2024-08-17 |
| Version | Author | Date |
|---|---|---|
| a7c07a3 | Stella-Joy | 2024-08-17 |
As you can see, the proportion of Black people in the population of Texas is much smaller than the proportion of Black people in the Texas DNA database. Conversely, the proportion of White people in the DNA database is smaller than the percent of the state’s population that is White. This pattern is true for most other states shown, highlighting the over-representation of Black Americans in the DNA databases.
Annual DNA Collection
These summary statistics describe the racial breakdown of DNA collected annually by state.
| average_proportion |
|---|
| 29.332 |
| average_proportion |
|---|
| 29.332 |
| State | percentage |
|---|---|
| Delaware | 79.9 |
| State | percentage |
|---|---|
| Montana | 1.9 |
| State | percentage |
|---|---|
| New_Hampshire | 92.6 |
| State | percentage |
|---|---|
| New_York | 12.9 |
Percent of Population Collected by Race
We can look at this data further and compare it to the racial breakdown of the total population in each state to explore the percentage of that population whose DNA has been collected.
For most states, the percentage of non-White people whose DNA is collected annually is much greater compared to White people. This disparity is most apparent for the Black population, which consistently shows the highest proportion of DNA collected.
Printed below are the average proportions across all states of people whose DNA is collected annually, divided by race. For example, the average percentage of Black Americans whose DNA is collected annually is 3.25%, meaning on average, 3.25% of the Black population has DNA collected annually. Other people of color have an average of 2.7% collected annually, compared to the White population, whose average percent of population with DNA collected is only 0.82%.
`summarise()` has grouped output by 'State'. You can override using the
`.groups` argument.
R version 4.4.1 (2024-06-14 ucrt)
Platform: x86_64-w64-mingw32/x64
Running under: Windows 11 x64 (build 22631)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.utf8
[2] LC_CTYPE=English_United States.utf8
[3] LC_MONETARY=English_United States.utf8
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.utf8
time zone: America/New_York
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] patchwork_1.2.0 knitr_1.48 lubridate_1.9.3 forcats_1.0.0
[5] stringr_1.5.1 dplyr_1.1.4 purrr_1.0.2 readr_2.1.5
[9] tidyr_1.3.1 tibble_3.2.1 ggplot2_3.5.1 tidyverse_2.0.0
loaded via a namespace (and not attached):
[1] sass_0.4.9 utf8_1.2.4 generics_0.1.3 stringi_1.8.4
[5] hms_1.1.3 digest_0.6.36 magrittr_2.0.3 timechange_0.3.0
[9] evaluate_0.24.0 grid_4.4.1 fastmap_1.2.0 rprojroot_2.0.4
[13] workflowr_1.7.1 jsonlite_1.8.8 whisker_0.4.1 promises_1.3.0
[17] fansi_1.0.6 scales_1.3.0 jquerylib_0.1.4 cli_3.6.3
[21] crayon_1.5.3 rlang_1.1.4 bit64_4.0.5 munsell_0.5.1
[25] withr_3.0.0 cachem_1.1.0 yaml_2.3.9 parallel_4.4.1
[29] tools_4.4.1 tzdb_0.4.0 colorspace_2.1-0 httpuv_1.6.15
[33] vctrs_0.6.5 R6_2.5.1 lifecycle_1.0.4 git2r_0.33.0
[37] bit_4.0.5 fs_1.6.4 vroom_1.6.5 pkgconfig_2.0.3
[41] pillar_1.9.0 bslib_0.7.0 later_1.3.2 gtable_0.3.5
[45] glue_1.7.0 Rcpp_1.0.12 highr_0.11 xfun_0.45
[49] tidyselect_1.2.1 rstudioapi_0.16.0 farver_2.1.2 htmltools_0.5.8.1
[53] labeling_0.4.3 rmarkdown_2.27 compiler_4.4.1