Data Montgomery Experience Final Report Presentation

 
DATA MONTGOMERY
EXPERIENCE
 
BRIAN PEREZ | DATA 205 CAPSTONE IN DATA SCIENCE | WEDNESDAY, MAY 1
ST
 2019
 
FINAL REPORT PRESENTATION
 
I.
Overview Of Project Plan
1.
Shelters Interactive Map
2.
MCFRS Incident Analysis
II.
Shelters Interactive Map
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The map
4.
Data Story
5.
Recommendations
III.
MCFRS Incident Analysis
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The Analysis
4.
Data Story
5.
Recommendations
IV.
dataMontgomery Experience
V.
Acknowledgements
 
AGENDA
 
•
Shelters Interactive Map
•
Goal 1 
– Create services that allow users to interact with geographical data via a web-based interactive map
•
Dataset
 – Emergency Shelter Activation Status
•
Tools
 – HTML, JavaScript, Leaflet JS, Bing,  AWS S3 (hosting), Route 53 (Domain Name Registration)
 
•
Montgomery Country Fire & Rescue Service (MCFRS) Incident Analysis
•
Goal 2 
– Provide an analysis of 911 calls received by MCFRS to better understand the nature, frequency and
locations of the calls
•
Dataset
 – MCFRS_Incidents_by_Station, Population MD, Zip Code Shape File
•
Tools
 – Python, Geopy, Nominatim, pandas, numpy, matplotlib, seaborn, statsmodels.api, datetime, Tableau
 
 
 
 
 
 
 
OVERVIEW OF THE PROJECT PLAN
 
I.
Overview Of Project Plan
1.
Shelters Interactive Map
2.
MCFRS Incident Analysis
II.
Shelters Interactive Map
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The map
4.
Data Story
5.
Recommendations
III.
MCFRS Incident Analysis
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The Analysis
4.
Data Story
5.
Recommendations
IV.
dataMontgomery Experience
V.
Acknowledgements
 
AGENDA
 
•
Extracted shelter data (GeoJSON) via Socrata’s API function – 
Active Shelters Link
•
All shelters are listed as CLOSED
•
Created mock data with a few shelters listed as OPEN
•
Included Hospital and Police stations in the area
•
 
Source:
 
dataMontgomery (
hospitals
), and GIS Open Data (
police stations
)
•
API Links changes when new data gets uploaded to dataMontgomery
•
Old Link (Mar-19): 
https://data.montgomerycountymd.gov/resource/
4yqk-nikt
.geojson
•
New Link (Apr -19): 
https://data.montgomerycountymd.gov/resource/
mhua-idee
.geojson
 
 
 
 
 
 
 
 
SHELTERS INTERACTIVE MAP – DATA CLEAN UP
 
I.
Overview Of Project Plan
1.
Shelters Interactive Map
2.
MCFRS Incident Analysis
II.
Shelters Interactive Map
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The map
4.
Data Story
5.
Recommendations
III.
MCFRS Incident Analysis
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The Analysis
4.
Data Story
5.
Recommendations
IV.
dataMontgomery Experience
V.
Acknowledgements
 
AGENDA
 
 
SHELTERS INTERACTIVE MAP – FINAL PRODUCT
 
http://itforaid.org/map/mcshelters.html
 - Test
http://itforaid.org/map/mcshelterslive.html
 - Live
 
THE PROCESS
 
THE PRODUCT
 
I.
Overview Of Project Plan
1.
Shelters Interactive Map
2.
MCFRS Incident Analysis
II.
Shelters Interactive Map
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The map
4.
Data Story
5.
Recommendations
III.
MCFRS Incident Analysis
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The Analysis
4.
Data Story
5.
Recommendations
IV.
dataMontgomery Experience
V.
Acknowledgements
 
AGENDA
 
•
Provide additional details for shelters
•
Maximum capacity permitted
•
Description of services offered
•
Point of Contact: email and number
•
Shelter type (
e.g. 
school, rec. center, community center)
•
Set static API links when updating data in Socrata
•
Increase number of pet friendly shelters
•
Enhancements to the application:
•
Find nearest open shelter based on a user’s location
•
Integrate app. with mapping apps
•
Add layers such as road closures and traffic conditions
•
Provide additional details for Police Stations dataset on Data Montgomery
 
 
 
 
 
 
 
 
 
 
 
 
SHELTERS INTERACTIVE MAP – RECOMMENDATIONS
 
I.
Overview Of Project Plan
1.
Shelters Interactive Map
2.
MCFRS Incident Analysis
II.
Shelters Interactive Map
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The map
4.
Data Story
5.
Recommendations
III.
MCFRS Incident Analysis
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The Analysis
4.
Data Story
5.
Recommendations
IV.
dataMontgomery Experience
V.
Acknowledgements
 
AGENDA
 
1.
Geocoding Incident Data
 
 
2.
Reclassifying Call Types: 
From 99 to 5 Types ('Health', 'Structural/Environment', 'Threat/Legal', 'Service', 'UNK’)
From 99 to 5 Types ('Health', 'Structural/Environment', 'Threat/Legal', 'Service', 'UNK’)
 
 
3.
Time Series Analysis Date Format: 
Add expected date formats for Time Series and Seasonal Decomposition Analysis
Add expected date formats for Time Series and Seasonal Decomposition Analysis
 
 
4.
Tableau Analysis & Dashboard
 
MCFRS INCIDENT ANALYSIS – DATA CLEAN UP
 
I.
Overview Of Project Plan
1.
Shelters Interactive Map
2.
MCFRS Incident Analysis
II.
Shelters Interactive Map
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The map
4.
Data Story
5.
Recommendations
III.
MCFRS Incident Analysis
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The Analysis
4.
Data Story
5.
Recommendations
IV.
dataMontgomery Experience
V.
Acknowledgements
 
AGENDA
 
 
MCFRS INCIDENT ANALYSIS – 
DESCRIPTIVE STATS
 
Barplot - Calls Received - Agg. 3/2014 - 2/2019
 
Barplot - Calls Received by Year - Agg. 2014 - 2019
 
 
MCFRS INCIDENT ANALYSIS – DESCRIPTIVE STATS
 
 
MCFRS INCIDENT ANALYSIS – DESCRIPTIVE STATS
 
 
MCFRS INCIDENT ANALYSIS – DESCRIPTIVE STATS
Removed
March 2014
 
I.
Overview Of Project Plan
1.
Shelters Interactive Map
2.
MCFRS Incident Analysis
II.
Shelters Interactive Map
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The map
4.
Data Story
5.
Recommendations
III.
MCFRS Incident Analysis
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The Analysis
4.
Data Story
5.
Recommendations
IV.
dataMontgomery Experience
V.
Acknowledgements
 
AGENDA
 
 
MCFRS INC. ANALYSIS – SEASONAL DECOMPOSITION
Observed = Trend + Seasonal + Residual
Calls increase over time, perhaps due to
increase in population
Spikes at the start of each year, perhaps
due to the flu common during the winter
Observed = 
Trend + Seasonal + Residual
Trend + Seasonal + Residual
Trend = 
Overall change over time
Overall change over time
Seasonal = 
Change within a given period
Change within a given period
Residual = 
Random variation in the series
Random variation in the series
 
 
MCFRS INCIDENT ANALYSIS – TABLEAU DASHBOARD
 
I.
Overview Of Project Plan
1.
Shelters Interactive Map
2.
MCFRS Incident Analysis
II.
Shelters Interactive Map
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The map
4.
Data Story
5.
Recommendations
III.
MCFRS Incident Analysis
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The Analysis
4.
Data Story
5.
Recommendations
IV.
dataMontgomery Experience
V.
Acknowledgements
 
AGENDA
 
MCFRS INCIDENT ANALYSIS – DATA STORY
 
 
TREND OF HEALTH CALLS RECEIVED
 
CALLS BY CITY 
2014 - 2019
 
NOTE: INFO BASED ON DATA APR 2014 – MAR 2019
 
I.
Overview Of Project Plan
1.
Shelters Interactive Map
2.
MCFRS Incident Analysis
II.
Shelters Interactive Map
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The map
4.
Data Story
5.
Recommendations
III.
MCFRS Incident Analysis
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The Analysis
4.
Data Story
5.
Recommendations
IV.
dataMontgomery Experience
V.
Acknowledgements
 
AGENDA
 
•
Add lat/long coordinates for the Fire Stations
•
Add Time Stamp of Call
•
Validate Zip Codes and Addresses
 
 
 
 
 
MCFRS INCIDENT ANALYSIS – 
RECOMMENDATIONS
 
I.
Overview Of Project Plan
1.
Shelters Interactive Map
2.
MCFRS Incident Analysis
II.
Shelters Interactive Map
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The map
4.
Data Story
5.
Recommendations
III.
MCFRS Incident Analysis
1.
Data Clean Up
2.
Descriptive Statistics
3.
Final Product: The Analysis
4.
Data Story
5.
Recommendations
IV.
dataMontgomery Experience
V.
Acknowledgements
 
AGENDA
 
•
Pros of dataMontgomery
•
Open Government: 
Montgomery County’s commitment to increasing transparency and citizen involvement in
general aspects of e-Government services
•
Support:
 Quick Response from Data Owners/Staff
•
Accessible
: As a first time Socrata user, the tool meets its goal of making data accessible to the average non-
technical user.
•
Cons of dataMontgomery
•
Navigation: 
Navigation can be cumbersome with a large amount of unvalidated data sets and views
•
Maps: 
Mapping functionality was limited
•
APIs:  
API links should be static if possible
•
Acknowledgements
•
Kathryn L -- Dennis L --  Kathy L -- Mayro N – Peter P – Carlos C
•
 stackOverflow -- machinelearningmastery.com -- 
http://sopac-old.ucsd.edu/convertDate.shtml
 --
data.imap.maryland.gov
 
 
EXPERIENCES & ACKNOWLEDGEMENTS

								

								
								

										

												
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The Data Montgomery Experience Final Report Presentation by Brian Perez showcased the project plan which included creating services for users to interact with geographical data through a web-based interactive map and analyzing 911 calls received by MCFRS. The report covered data clean-up, descriptive statistics, final product outcomes, data stories, and recommendations. Various tools and datasets were utilized to achieve the project goals effectively.


								
    
																		
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  1. DATA MONTGOMERY  EXPERIENCE FINAL REPORT PRESENTATION BRIAN PEREZ | DATA 205 CAPSTONE IN DATA SCIENCE | WEDNESDAY, MAY 1ST2019
    2. 
            
            
            
  2. AGENDA I. Overview Of Project Plan 1. Shelters Interactive Map 2. MCFRS Incident Analysis II. Shelters Interactive Map 1. Data Clean Up 2. Descriptive Statistics 3. Final Product: The map 4. Data Story 5. Recommendations III. MCFRS Incident Analysis 1. Data Clean Up 2. Descriptive Statistics 3. Final Product: The Analysis 4. Data Story 5. Recommendations IV. dataMontgomery Experience V. Acknowledgements
    3. 
            
            
            
  3. OVERVIEW OF THE PROJECT PLAN     Shelters Interactive Map     Goal 1     Create services that allow users to interact with geographical data via a web-based interactive map     Dataset    Emergency Shelter Activation Status     Tools    HTML, JavaScript, Leaflet JS, Bing,  AWS S3 (hosting), Route 53 (Domain Name Registration) Pet  Shelter Name Address Status Location Friendly 250 Richard Montgomery Drive Rockville, MD 20852 (39.078636, -77.145631) Richard Montgomery High  School 250 Richard Montgomery Drive,  Rockville, MD 20852 CLOSED No     Montgomery Country Fire & Rescue Service (MCFRS) Incident Analysis     Goal 2     Provide an analysis of 911 calls received by MCFRS to better understand the nature, frequency and  locations of the calls     Dataset    MCFRS_Incidents_by_Station, Population MD, Zip Code Shape File     Tools    Python, Geopy, Nominatim, pandas, numpy, matplotlib, seaborn, statsmodels.api, datetime, Tableau Fire Station  Number Monthly  Total Month  Num Fire Station Nature of 911 call Year Month Station address Kensington Volunteer Fire  Department (Station 18) 12251 Georgia Ave Wheaton,  MD 20902 18 PREGNANCY 2 2017 MAY 5
    4. 
            
            
            
  4. AGENDA I. Overview Of Project Plan 1. Shelters Interactive Map 2. MCFRS Incident Analysis II. Shelters Interactive Map 1. Data Clean Up 2. Descriptive Statistics 3. Final Product: The map 4. Data Story 5. Recommendations III. MCFRS Incident Analysis 1. Data Clean Up 2. Descriptive Statistics 3. Final Product: The Analysis 4. Data Story 5. Recommendations IV. dataMontgomery Experience V. Acknowledgements
    5. 
            
            
            
  5. SHELTERS INTERACTIVE MAP  DATA CLEAN UP     Extracted shelter data (GeoJSON) via Socrata   s API function    Active Shelters Link     All shelters are listed as CLOSED     Created mock data with a few shelters listed as OPEN      Included Hospital and Police stations in the area    Source:dataMontgomery (hospitals), and GIS Open Data (police stations)     API Links changes when new data gets uploaded to dataMontgomery     Old Link (Mar-19): https://data.montgomerycountymd.gov/resource/4yqk-nikt.geojson     New Link (Apr -19): https://data.montgomerycountymd.gov/resource/mhua-idee.geojson
    6. 
            
            
            
  6. AGENDA I. Overview Of Project Plan 1. Shelters Interactive Map 2. MCFRS Incident Analysis II. Shelters Interactive Map 1. Data Clean Up 2. 3. Descriptive Statistics Final Product: The map 4. Data Story 5. Recommendations III. MCFRS Incident Analysis 1. Data Clean Up 2. Descriptive Statistics 3. Final Product: The Analysis 4. Data Story 5. Recommendations IV. dataMontgomery Experience V. Acknowledgements
    7. 
            
            
            
  7. SHELTERS INTERACTIVE MAP  FINAL PRODUCT THE PRODUCT THE PROCESS http://itforaid.org/map/mcshelters.html - Test http://itforaid.org/map/mcshelterslive.html - Live
    8. 
            
            
            
  8. AGENDA I. Overview Of Project Plan 1. Shelters Interactive Map 2. MCFRS Incident Analysis II. Shelters Interactive Map 1. Data Clean Up 2. Descriptive Statistics 3. Final Product: The map 4. 5. Data Story Recommendations III. MCFRS Incident Analysis 1. Data Clean Up 2. Descriptive Statistics 3. Final Product: The Analysis 4. Data Story 5. Recommendations IV. dataMontgomery Experience V. Acknowledgements
    9. 
            
            
            
  9. SHELTERS INTERACTIVE MAP  RECOMMENDATIONS      Provide additional details for shelters     Maximum capacity permitted     Description of services offered     Point of Contact: email and number     Shelter type (e.g. school, rec. center, community center)     Set static API links when updating data in Socrata     Increase number of pet friendly shelters     Enhancements to the application:     Find nearest open shelter based on a user   s location     Integrate app. with mapping apps     Add layers such as road closures and traffic conditions     Provide additional details for Police Stations dataset on Data Montgomery
    10. 
            
            
            
  10. AGENDA I. Overview Of Project Plan 1. Shelters Interactive Map 2. MCFRS Incident Analysis II. Shelters Interactive Map 1. Data Clean Up 2. Descriptive Statistics 3. Final Product: The map 4. Data Story 5. Recommendations III. MCFRS Incident Analysis 1. Data Clean Up 2. Descriptive Statistics 3. Final Product: The Analysis 4. Data Story 5. Recommendations IV. dataMontgomery Experience V. Acknowledgements
    11. 
            
            
            
  11. MCFRS INCIDENT ANALYSIS  DATA CLEAN UP 1. Geocoding Incident Data Merge  Lat/Long to  Incidents Isolate  Addresses Drop  Duplicates Get  Lat/Long 2. Reclassifying Call Types: From 99 to 5 Types ('Health', 'Structural/Environment', 'Threat/Legal', 'Service', 'UNK   ) Merge New  Types with  Incidents N/As =    Not  Reported    Drop  Duplicates New Types List 3. Time Series Analysis Date Format: Add expected date formats for Time Series and Seasonal Decomposition Analysis Adding Decimal Date 4/1/2014 = 2014.25 Index data based on  Dates Format Dates: yyyy-mm-dd 4. Tableau Analysis & Dashboard Maryland Political  Boundaries     Shape  File Population Data  2010 Census Merge All based on  Zip Codes
    12. 
            
            
            
  12. AGENDA I. Overview Of Project Plan 1. Shelters Interactive Map 2. MCFRS Incident Analysis II. Shelters Interactive Map 1. Data Clean Up 2. Descriptive Statistics 3. Final Product: The map 4. Data Story 5. Recommendations III. MCFRS Incident Analysis 1. 2. Data Clean Up Descriptive Statistics 3. Final Product: The Analysis 4. Data Story 5. Recommendations IV. dataMontgomery Experience V. Acknowledgements
    13. 
            
            
            
  13. MCFRS INCIDENT ANALYSIS  DESCRIPTIVE STATS Barplot - Calls Received - Agg. 3/2014 - 2/2019 Barplot - Calls Received by Year - Agg. 2014 - 2019
    14. 
            
            
            
  14. MCFRS INCIDENT ANALYSIS  DESCRIPTIVE STATS 2019 does not have  a full year of data
    15. 
            
            
            
  15. MCFRS INCIDENT ANALYSIS  DESCRIPTIVE STATS Drop due to  missing data on  3/2014
    16. 
            
            
            
  16. MCFRS INCIDENT ANALYSIS  DESCRIPTIVE STATS Removed  March 2014
    17. 
            
            
            
  17. AGENDA I. Overview Of Project Plan 1. Shelters Interactive Map 2. MCFRS Incident Analysis II. Shelters Interactive Map 1. Data Clean Up 2. Descriptive Statistics 3. Final Product: The map 4. Data Story 5. Recommendations III. MCFRS Incident Analysis 1. Data Clean Up 2. 3. Descriptive Statistics Final Product: The Analysis 4. Data Story 5. Recommendations IV. dataMontgomery Experience V. Acknowledgements
    18. 
            
            
            
  18. MCFRS INC. ANALYSIS  SEASONAL DECOMPOSITION Observed = Trend + Seasonal + Residual Calls increase over time, perhaps due to  increase in population Spikes at the start of each year, perhaps  due to the flu common during the winter Observed = Trend + Seasonal + Residual Trend = Overall change over time Seasonal = Change within a given period Residual = Random variation in the series
    19. 
            
            
            
  19. MCFRS INCIDENT ANALYSIS  TABLEAU DASHBOARD
    20. 
            
            
            
  20. AGENDA I. Overview Of Project Plan 1. Shelters Interactive Map 2. MCFRS Incident Analysis II. Shelters Interactive Map 1. Data Clean Up 2. Descriptive Statistics 3. Final Product: The map 4. Data Story 5. Recommendations III. MCFRS Incident Analysis 1. Data Clean Up 2. Descriptive Statistics 3. 4. Final Product: The Analysis Data Story 5. Recommendations IV. dataMontgomery Experience V. Acknowledgements
    21. 
            
            
            
  21. MCFRS INCIDENT ANALYSIS  DATA STORY CALLS BY CITY 2014 - 2019 73% of calls are Health related Specifically Sickness The majority of the calls occur in  Silver Spring (162,500) Gaithersburg-Washington Grove  Volunteer Fire Department  (Station 8) has received the most  calls: 49,135 TREND OF HEALTH CALLS RECEIVED Most Health calls occur during the  winter months - Staff Centers Accordingly - Increase Flu Shot Availability  NOTE: INFO BASED ON DATA APR 2014     MAR 2019
    22. 
            
            
            
  22. AGENDA I. Overview Of Project Plan 1. Shelters Interactive Map 2. MCFRS Incident Analysis II. Shelters Interactive Map 1. Data Clean Up 2. Descriptive Statistics 3. Final Product: The map 4. Data Story 5. Recommendations III. MCFRS Incident Analysis 1. Data Clean Up 2. Descriptive Statistics 3. Final Product: The Analysis 4. 5. Data Story Recommendations IV. dataMontgomery Experience V. Acknowledgements
    23. 
            
            
            
  23. MCFRS INCIDENT ANALYSIS  RECOMMENDATIONS      Add lat/long coordinates for the Fire Stations     Add Time Stamp of Call     Validate Zip Codes and Addresses Fire Station Original Address Fixed Address Kensington Volunteer Fire Department  (Station 5) Damascus Volunteer Fire Department  (Station 13) 10620 Connecticut Ave Kensington, MD  20985 10620 Connecticut Ave Kensington, MD  20895 26334 Ridge Rd Damascus, MD 20750 26334 Ridge Rd Damascus, MD 20872
    24. 
            
            
            
  24. AGENDA I. Overview Of Project Plan 1. Shelters Interactive Map 2. MCFRS Incident Analysis II. Shelters Interactive Map 1. Data Clean Up 2. Descriptive Statistics 3. Final Product: The map 4. Data Story 5. Recommendations III. MCFRS Incident Analysis 1. Data Clean Up 2. Descriptive Statistics 3. Final Product: The Analysis 4. Data Story 5. Recommendations IV. dataMontgomery Experience V. Acknowledgements
    25. 
            
            
            
  25. EXPERIENCES & ACKNOWLEDGEMENTS     Pros of dataMontgomery     Open Government: Montgomery County   s commitment to increasing transparency and citizen involvement in  general aspects of e-Government services     Support: Quick Response from Data Owners/Staff     Accessible: As a first time Socrata user, the tool meets its goal of making data accessible to the average non- technical user.     Cons of dataMontgomery     Navigation: Navigation can be cumbersome with a large amount of unvalidated data sets and views     Maps: Mapping functionality was limited     APIs:  API links should be static if possible     Acknowledgements     Kathryn L -- Dennis L --  Kathy L -- Mayro N     Peter P     Carlos C        stackOverflow -- machinelearningmastery.com -- http://sopac-old.ucsd.edu/convertDate.shtml --  data.imap.maryland.gov
    26. 
            
            
            
							

							

					

					
					
					

						
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