From 27d2fc9131cd73df19fbac3909b71d97fabd86ec Mon Sep 17 00:00:00 2001 From: jwucouncil <61881283+jwucouncil@users.noreply.github.com> Date: Wed, 17 Apr 2024 16:29:20 -0400 Subject: [PATCH 1/3] map change for 10k --- code/02_mapping.R | 25 +++++++++++------- ...tal-health-services-landscape-english.xlsx | Bin 165 -> 0 bytes visuals/sbhc_map.html | 6 ++--- 3 files changed, 19 insertions(+), 12 deletions(-) delete mode 100644 data/input/~$mental-health-services-landscape-english.xlsx diff --git a/code/02_mapping.R b/code/02_mapping.R index 6c60eb0..e3f1b9d 100644 --- a/code/02_mapping.R +++ b/code/02_mapping.R @@ -5,10 +5,13 @@ source('code/00_load_dependencies.R') ### Map Labels and chloropeth colors ##### # Base layer - Total Enrollment +school_dist_shp$sbhc10k <- school_dist_shp$num_sbhc/(school_dist_shp$total_enrollment/10000) + map_total_enrollment_popup <- paste('',"School District:",school_dist_shp$school_dis,"
", - "","Total Open Schools:",prettyNum(school_dist_shp$num_open_schools, big.mark = ','),"
", + "","Number of SBHCs per 10k Students: ",round(school_dist_shp$sbhc10k,2),"
", + "","Total Schools:",prettyNum(school_dist_shp$num_open_schools, big.mark = ','),"
", "","Total Enrolled Students:",prettyNum(school_dist_shp$total_enrollment, big.mark = ','),"
", - "","Number of Open SBHC:",prettyNum(school_dist_shp$num_sbhc, big.mark = ','),"
", + "","Number of SBHC:",prettyNum(school_dist_shp$num_sbhc, big.mark = ','),"
", "","Number Schools SBHC Served:",prettyNum(school_dist_shp$num_sbhc_schools_served, big.mark = ','),"
", "","Number of Schools SMHC Served:",prettyNum(school_dist_shp$num_schools_smhc_served, big.mark = ','),"
", "
", @@ -17,11 +20,11 @@ map_total_enrollment_popup <- paste('',"School Distr "","Percent of Students with Diabetes 1:",label_percent(accuracy = 0.01)(school_dist_shp$percent_diabetes1),"
", "","Percent of Students with Diabetes 2:",label_percent(accuracy = 0.01)(school_dist_shp$percent_diabetes2),"
") -enrollment_cuts <- classIntervals(var = school_dist_shp$total_enrollment,n=3) +enrollment_cuts <- classIntervals(var = school_dist_shp$sbhc10k,n=3) enrollment_pal = councildown::colorBin( palette = "bw", bins = enrollment_cuts$brks, - domain = school_dist_shp$total_enrollment, + domain = school_dist_shp$sbhc10k, na.color = "#FFFFFF" ) @@ -183,9 +186,9 @@ m <- leaflet() %>% `font-weight` = "bold"))) %>% #addTiles() %>% # Overlay Groups - # Default Base Layer - total enrollment + # Default Base Layer - sbhc per 10k enrollment addPolygons(data = school_dist_shp, - fillColor = ~enrollment_pal(total_enrollment), + fillColor = ~enrollment_pal(sbhc10k), fillOpacity = 0.5, color = "black", opacity = 1, @@ -348,7 +351,7 @@ m <- leaflet() %>% addLegend(pal = enrollment_pal, values = school_dist_shp$total_enrollment, labFormat = labelFormat(digits = 0, big.mark = ","), - title = "Total Enrollment in SD", + title = "SBHCs per 10k Students in SD", layerId = "enrollment") %>% addLegend(pal = poverty_pal, values = school_dist_shp$percent_poverty, @@ -412,7 +415,7 @@ school_dist_shp %>% # ENROLLMENT # The top 3 largest school districts are 31, 2, and 24 with 61,838, 57,900, 54,197 people enrolled respectively. # Of these, only district 24 has a poverty percentage of greater than 70% and the other 2 has less than 60% in poverty. -# District 2 has the largest number of open schools of all districts and has 8 SBHCs serving 34 schools. District 31 and 24 +# District 2 has the largest number of open schools of all districts and has 8 SBHCs serving 34 schools out of 133. District 31 and 24 # have 4 and 2 SBHCs respectively, both serving only 7 schools out of 87 and 69 respectively. school_dist_shp %>% @@ -440,6 +443,10 @@ school_dist_shp %>% lmtest = lm(num_sbhc~total_enrollment + num_open_schools + percent_poverty + percent_asthma, data = school_dist_shp) #Create the linear regression summary(lmtest) #Review the results -# MOST SBHC Traits? +# Areas with highest density of SBHCs/10k students +sbhcper10 <- school_dist_shp %>% + filter(sbhc10k >= 1.9985669) +# Of the 11 districts with high densities of SBHCs per 10k students, only districts 15 and 3 have less than 78% students in poverty, +# with 54% and 49% respectively. They also have the some of the lowest reported asthma rates when compared to the other 9 districts. diff --git a/data/input/~$mental-health-services-landscape-english.xlsx b/data/input/~$mental-health-services-landscape-english.xlsx deleted file mode 100644 index 5a932052db2a5d1e1d32a453f59be330b8becc3b..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 165 zcmWgj%}g%JFV0UZQSeVo%S=vH2rW)6QXm9G8GIQs8Il=_81fm4fjEt!gh7G9A4sQx R#Z!U2P@qgIP=x};5CA3W7%cz* diff --git a/visuals/sbhc_map.html b/visuals/sbhc_map.html index 432ff26..f40d6a0 100644 --- a/visuals/sbhc_map.html +++ b/visuals/sbhc_map.html @@ -4053,9 +4053,9 @@
-
+
- - + + From 5e28e1c3121ad6bf68717da9824ac6b396353267 Mon Sep 17 00:00:00 2001 From: jwucouncil <61881283+jwucouncil@users.noreply.github.com> Date: Wed, 17 Apr 2024 16:32:55 -0400 Subject: [PATCH 2/3] added 10k mapshot --- code/02_mapping.R | 2 +- visuals/sbhc_per_10k_map.png | Bin 0 -> 422321 bytes 2 files changed, 1 insertion(+), 1 deletion(-) create mode 100644 visuals/sbhc_per_10k_map.png diff --git a/code/02_mapping.R b/code/02_mapping.R index e3f1b9d..6f8d279 100644 --- a/code/02_mapping.R +++ b/code/02_mapping.R @@ -404,7 +404,7 @@ m <- leaflet() %>% }); }") -#mapshot(m,file="visuals/poverty_sbhc_map.png") +#mapshot(m,file="visuals/sbhc_per_10k_map.png") # Top 3 diff --git a/visuals/sbhc_per_10k_map.png b/visuals/sbhc_per_10k_map.png new file mode 100644 index 0000000000000000000000000000000000000000..17f1f5c0d79114107927a82e13a65509eec0fab6 GIT binary patch literal 422321 zcmb5Wby(Hg8ZErscA%o7(kdn>h!WBmfMC%esiJ_SlG4}-C<-Xu9iq}{fk?*!X%*@2 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zht%^k!DqF2ED+9@`7uA7#OqwuH*L$aP7)6ZY^pbvIklx6T}wm1t#eZ3`PLTc7^fsN zH1jBp?}Swz{K$)T#7SS$3HEL$R;RB{6zX(@br zG$FJ$xL9lJ(H&s|uiq}@RexCr$w>=eZM(xc`HSe&v$}IRm>?eA#8|IIMw;le?r+t;}hL0 z?`_0Bye!vxC*_GW-m~A~I9GqvKi07yG?3?iwE?^PE;mwW@NY}q18Ik<M$iZDD7x+Jn7<@D;BThV?c)ZFLG(YEmemF^%cRkN^s;Be32A@T73B6nP z=+uTU&% znVQ%jlW_FC5=yz!TjlhYCpH1%#(2Kb5l&)&U+9-+L-ugk(6~|=6k;U`Epy?)t`X&YTaTbl?*;piTCI;t6)l)(lI-V2$IFkh8^mT443q<(`MfM10HHIrbZz)OyXK*zDMV(=QQD?+zrwmk~H@E@UvA| z^s;Xe-zh$4pdDK?~b{gXKMhe$Dy?~Ssih@2qVzfrzRJZ3`sPR;I)|)M ztZiwqjiaegtg&TGt0WF~r&7UaJ)WqN)W;6o=%KcKsEvE@nFt2-4;u80bLmhd3%|mb z!`OTj(#uEPSRwOoGPeMgT1j>I)@2r(cc}Lt!9Fj}yLmD*<-GFmeY@ihdeK+uWd8Mn zr~9@^-&oihY`}0ZiuRNQXySfZ%t&zTzp`-c(f3TD>+Y{f`E9|1GXIC2I1CKmf_JMf tG|H%?e=PsRe^}xu?S&Q%rH!4|bi;p8G3A%Ty=)W;d+@j={lK{^{{>Mnd^!LC literal 0 HcmV?d00001 From 1cc2180557c8d71bc62e7d2a05c2f1c5b49a5fc6 Mon Sep 17 00:00:00 2001 From: Rose Martinez <44377052+romartinez-nycc@users.noreply.github.com> Date: Thu, 18 Apr 2024 10:56:42 -0400 Subject: [PATCH 3/3] Update README.md --- README.md | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 96c0d61..083a8b6 100644 --- a/README.md +++ b/README.md @@ -13,7 +13,8 @@ An associated webpage for this analysis can be found [on the council website](ht - [2022-2023 School-Level Enrollment Data](https://data.cityofnewyork.us/Education/2017-18-2021-22-Demographic-Snapshot/c7ru-d68s/about_data) - [2024 School Locations/Information](data/input/Schooldata_24.csv) - [School Districts Shapefile](https://data.cityofnewyork.us/api/geospatial/r8nu-ymqj?method=export&format=Shapefile) -- [2021-2022 LL12 School Disease Statistics](https://github.com/NewYorkCityCouncil/sbhc/blob/main/data/input/Local%20Law%2012%20School%20Year%202021-22.xlsx) +- 2021-2022 LL12 School Disease Statistics - Local Law 12 of 2016, on file with the City Council +- [DOE’s Demographic Snapshot Dataset](https://data.cityofnewyork.us/Education/2017-18-2021-22-Demographic-Snapshot/c7ru-d68s/about_data) #### Methodology @@ -26,6 +27,10 @@ The data team examined student health reports submitted to the Council along wit #### Main Takeaways +- School Districts 9 and 10 in the Bronx stand out as the two districts with the highest number of school-based health centers. +- When comparing the student asthma rate, the citywide rate is slightly lower than (14.10%) to those of school districts (14.28%) with SBHCs and those without (12.48%), where the rates are nearly the same. +- The number of school based health centers per 10,000 students appears to be linked with certain health and social indicators such as poverty, asthma, type 1 diabetes, type 2 diabetes, and severe allergic reactions. +- Despite a positive trend between SBHCs & asthma, school districts 15 & 3 stand out with fewer students in poverty and lower asthma rates compared to other districts with a high number of SBHCs. #### 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