ben's visuals

Data/2018-PIT-Counts Vets.csv

@@ -0,0 +1,51 @@
+State,Overall Homeless,Homeless Veterans,Percentage
+AK,2016,132,6.145251397
+AL,3434,339,8.984892658
+AR,2712,251,8.471144111
+AZ,9865,893,8.300799405
+CA,129972,10836,7.695585478
+CO,10857,1073,8.994132439
+CT,3976,190,4.560729717
+DE,1082,70,6.076388889
+FL,31030,2543,7.574539064
+GA,9499,705,6.909055272
+HI,6530,532,7.533276692
+IA,2749,196,6.655348048
+ID,2012,215,9.654243377
+IL,10643,804,7.023674325
+IN,5258,539,9.297912713
+KS,2216,195,8.087930319
+KY,3688,369,9.095390683
+LA,3059,406,11.71717172
+MA,20068,985,4.678668123
+MD,7144,574,7.437159886
+ME,2516,119,4.516129032
+MI,8351,693,7.6625387
+MN,7243,301,3.989925769
+MO,5883,507,7.9342723
+MS,1352,102,7.015130674
+MT,1405,198,12.3518403
+NC,9268,884,8.707643814
+ND,542,9,1.633393829
+NE,2421,171,6.597222222
+NH,1450,143,8.976773384
+NJ,9398,555,5.576208178
+NM,2551,290,10.20767335
+NV,7544,723,8.745615096
+NY,91897,1224,1.314418874
+OH,10249,749,6.810329151
+OK,3871,313,7.480879541
+OR,14476,1363,8.605341246
+PA,13512,982,6.775217331
+RI,1101,103,8.554817276
+SC,3933,415,9.544618215
+SD,1159,110,8.668242711
+TN,7883,742,8.602898551
+TX,25310,1935,7.102220591
+UT,2876,239,7.672552167
+VA,5975,485,7.507739938
+VT,1291,104,7.455197133
+WA,22304,1636,6.833751044
+WI,4907,332,6.33708723
+WV,1243,131,9.534206696
+WY,639,47,6.851311953

Data/veteransubstance.csv

@@ -1,21 +1,21 @@
-Dependence,Substance,Weighted Count
-"No, Veteran",Alcohol,17160567.35
-"No, Non-Veteran",Alcohol,4627972.35
-"Yes, Veteran",Alcohol,324543.5252
-"Yes, Non-Veteran",Alcohol,73457.42346
-"No, Veteran",Marijuana,17421924.53
-"No, Non-Veteran",Marijuana,4687120.221
-"Yes, Veteran",Marijuana,63186.34595
-"Yes, Non-Veteran",Marijuana,14309.55228
-"No, Veteran",Pain Reliever,17460529.74
-"No, Non-Veteran",Pain Reliever,4699667.815
-"Yes, Veteran",Pain Reliever,24581.13529
-"Yes, Non-Veteran",Pain Reliever,1761.95831
-"No, Veteran",Heroin,17436481.51
-"No, Non-Veteran",Heroin,4701429.773
-"Yes, Veteran",Heroin,48629.36509
-"Yes, Non-Veteran",Heroin,0
-"No, Veteran",Cocaine,17478545.88
-"No, Non-Veteran",Cocaine,4697826.21
-"Yes, Veteran",Cocaine,6564.998307
-"Yes, Non-Veteran",Cocaine,3603.563065
+Dependence,Substance,Weighted Count,Percentage
+No/Non-Veteran,Alcohol,4627972.35,0.984375514
+No/Veteran,Alcohol,17160567.35,0.981438864
+Yes/Non-Veteran,Alcohol,73457.42346,0.015624486
+Yes/Veteran,Alcohol,324543.5252,0.018561136
+No/Non-Veteran,Cocaine,4697826.21,0.999233518
+No/Veteran,Cocaine,17478545.88,0.999624538
+Yes/Non-Veteran,Cocaine,3603.563065,0.000766482
+Yes/Veteran,Cocaine,6564.998307,0.000375462
+No/Non-Veteran,Heroin,4701429.773,1
+No/Veteran,Heroin,17436481.51,0.997218813
+Yes/Non-Veteran,Heroin,0,0
+Yes/Veteran,Heroin,48629.36509,0.002781187
+No/Non-Veteran,Marijuana,4687120.221,0.99695634
+No/Veteran,Marijuana,17421924.53,0.996386277
+Yes/Non-Veteran,Marijuana,14309.55228,0.00304366
+Yes/Veteran,Marijuana,63186.34595,0.003613723
+No/Non-Veteran,Pain Reliever,4699667.815,0.999625229
+No/Veteran,Pain Reliever,17460529.74,0.998594168
+Yes/Non-Veteran,Pain Reliever,1761.95831,0.000374771
+Yes/Veteran,Pain Reliever,24581.13529,0.001405832

README.md

@@ -1 +1,17 @@
-# Project-One
+# Project-One
+
+The technical requirements for Project 1 are as follows.
+
+* [ ] Use Pandas to clean and format your data set(s)
+
+* [ ] Create a Jupyter Notebook describing the **data exploration and cleanup** process
+
+* [ ] Create a Jupyter Notebook illustrating the **final data analysis**
+
+* [ ] Use Matplotlib to create a total of 6-8 visualizations of your data (ideally, at least 2 per "question" you ask of your data)
+
+* [ ] Save PNG images of your visualizations to distribute to the class and instructional team, and for inclusion in your presentation
+
+* [ ] Optionally, use at least one API, if you can find an API with data pertinent to your primary research questions
+
+* [ ] Create a write-up summarizing your major findings. This should include a heading for each "question" you asked of your data, and under each heading, a short description of what you found and any relevant plots.