This dashboard focuses on crime rates of repeated offenders within NY State.
Table of Contents:
- Types of Crimes
- Repeated Offenses
- Demographics
- Recidivism Rates
- Post Incarceration Life
| Month | Average Count |
|---|---|
| Jan | 44.68421 |
| Feb | 32.50877 |
| Mar | 41.87719 |
| Apr | 47.87719 |
| May | 61.36842 |
| Jun | 71.24561 |
| Jul | 78.05263 |
| Aug | 72.10526 |
| Sep | 61.54386 |
| Oct | 57.19298 |
| Nov | 50.14815 |
| Dec | 50.38889 |
| Note: | |
| Averaged Monthly Data from 2006 - 2024 |
-Over the last 18 years, July has had the highest average number of shooting per month. These July shootings have accounted for, 11.67% of the average total number of shootings per year. This data comes from a dataset that is updated monthly. This dashboard includes the most recently available data (from October 2024). This was last updated Thursday, December 05, 2024. More information can be found here.
-This pie chart shows the top 5 crimes that are most likely to result in recidivism.
-The 1st bar graph shows the correlation between gender and Recidivism within three years.
-The 2nd bar graph shows the correlation between education level and recidivism within three years.
-The 3rd bar graph shows the correlation between race and recidivism within three years.
-The first graph shows the number of prisoners released and return for each crime in New York state.
-The second graph shows the recidivism rate for different crimes committed in New York state.
kable(data)| Crime | Total_Released | Total_Returned | Recidivism_Rate |
|---|---|---|---|
| MURDER | 445 | 23 | 5.168539 |
| ATTEMPT MURDER | 165 | 21 | 12.727273 |
| MANSLAUGHTER 1ST, AG 2ND | 231 | 20 | 8.658009 |
| RAPE 1ST | 241 | 66 | 27.385892 |
| ROBBERY 1ST | 880 | 222 | 25.227273 |
| ROBBERY 2ND | 1057 | 303 | 28.666036 |
| ASSAULT 1ST | 410 | 74 | 18.048780 |
| ASSAULT 2ND | 706 | 171 | 24.220963 |
| BURGLARY 1ST | 210 | 46 | 21.904762 |
| BURGLARY 2ND | 1442 | 483 | 33.495146 |
| ARSON 1ST, 2ND | 61 | 12 | 19.672131 |
| SODOMY 1ST | 154 | 46 | 29.870130 |
| SEXUAL ABUSE 1,2,3 | 299 | 89 | 29.765886 |
| WEAPONS OFFENSES | 1508 | 353 | 23.408488 |
| KIDNAPPING 1ST, 2ND | 39 | 10 | 25.641026 |
| OTHER VFO SEX OFFENSES | 183 | 72 | 39.344262 |
| OTHER VIOLENT FELONY | 69 | 20 | 28.985507 |
| MANSLAUGHTER 2ND | 54 | 3 | 5.555556 |
| OTHER HOMICIDE | 58 | 9 | 15.517241 |
| ROBBERY 3RD | 588 | 173 | 29.421769 |
| ATTEMPT ASSAULT 2ND | 288 | 72 | 25.000000 |
| CONSPIRACY 2,3,4 | 171 | 22 | 12.865497 |
| OTHER WEAPONS | 483 | 107 | 22.153209 |
| OTHER SEX OFFENSES | 472 | 154 | 32.627119 |
| OTHER COERCIVE | 219 | 49 | 22.374429 |
| DRUG OFFENSES | 3983 | 753 | 18.905348 |
| BURGLARY 3RD | 1382 | 499 | 36.107091 |
| GRAND LARCENY | 918 | 238 | 25.925926 |
| FORGERY | 356 | 64 | 17.977528 |
| STOLEN PROPERTY | 277 | 84 | 30.324910 |
| DRIVE INTOXICATED | 527 | 92 | 17.457306 |
| CONTEMPT 1ST | 297 | 85 | 28.619529 |
| ALL OTHER FELONIES | 885 | 262 | 29.604520 |
| YOUTHFUL OFFENDER | 521 | 7 | 1.343570 |
In 2010, a comprehensive survey was conducted to assess the employment outcomes of individuals after their release from prison. The survey aimed to understand how various factors influenced the ability of ex-prisoners to secure stable employment and how their post-release experiences differed based on several key variables. The survey was conducted quarterly over a span of four years following the release of prisoners with a sample size of 51,500 individuals.The survey collected data on employment status, age, crime committed, length of conviction, salary, and type of job secured by participants after their release from prison. These variables helped assess the factors influencing employment outcomes and the challenges faced by ex-prisoners in securing stable work.
This dashboard was created using Quarto in RStudio, and the R Language and Environment.
The data used to create this dashboard were downloaded from:
Arnold J (2024). ggthemes: Extra Themes, Scales and Geoms for ‘ggplot2’. R package version 5.1.0, https://github.com/jrnold/ggthemes, https://jrnold.github.io/ggthemes/.
Auguie B (2017). gridExtra: Miscellaneous Functions for “Grid” Graphics. R package version 2.3, https://CRAN.R-project.org/package=gridExtra.
Bache S, Wickham H (2022). magrittr: A Forward-Pipe Operator for R. R package version 2.0.3, https://CRAN.R-project.org/package=magrittr.
Dancho M, Vaughan D (2023). tidyquant: Tidy Quantitative Financial Analysis. R package version 1.0.7, https://github.com/business-science/tidyquant.
Kunst J (2022). highcharter: A Wrapper for the ‘Highcharts’ Library. R package version 0.9.4, https://CRAN.R-project.org/package=highcharter.
Neuwirth E (2022). RColorBrewer: ColorBrewer Palettes. R package version 1.1-3, https://CRAN.R-project.org/package=RColorBrewer.
Posit team (2024). RStudio: Integrated Development Environment for R. Posit Software, PBC, Boston, MA. URL http://www.posit.co/.
R Core Team (2024). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.
Rinker, T. W. & Kurkiewicz, D. (2017). pacman: Package Management for R. version 0.5.0. Buffalo, New York. http://github.com/trinker/pacman
Vanderkam D, Allaire J, Owen J, Gromer D, Thieurmel B (2018). dygraphs: Interface to ’Dygraphs’Interactive Time Series Charting Library. R package version 1.1.1.6, https://CRAN.R-project.org/package=dygraphs.
Wickham H, Averick M, Bryan J, Chang W, McGowan LD, François R, Grolemund G, Hayes A, Henry L, Hester J, Kuhn M, Pedersen TL, Miller E, Bache SM, Müller K, Ooms J, Robinson D, Seidel DP, Spinu V, Takahashi K, Vaughan D, Wilke C, Woo K, Yutani H (2019). “Welcome to the tidyverse.” Journal of Open Source Software, 4(43), 1686. doi:10.21105/joss.01686 https://doi.org/10.21105/joss.01686.
Xie Y (2024). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.48, https://yihui.org/knitr/.
Yihui Xie (2015) Dynamic Documents with R and knitr. 2nd edition. Chapman and Hall/CRC. ISBN 978-1498716963
Yihui Xie (2014) knitr: A Comprehensive Tool for Reproducible Research in R. In Victoria Stodden, Friedrich Leisch and Roger D. Peng, editors, Implementing Reproducible Computational Research. Chapman and Hall/CRC. ISBN 978-1466561595
Zhu H (2024). kableExtra: Construct Complex Table with ‘kable’ and Pipe Syntax. R package version 1.4.0, https://github.com/haozhu233/kableExtra, http://haozhu233.github.io/kableExtra/.