Domain: Customer Service Analysis Tasks to be performed: (Perform a service request data analysis of New York City 311 calls) Import a 311 NYC service request. Moreover, the timescale and complaint types can be filtered on a more granular level to uncover further trends: From this chart filtering by weekday, one can see that complaint volume is considerably lower on the weekends for environmental incidents such as vermin sightings, fallen trees, or sidewalk repairs. 311 Service Requests encompass all non-emergency requests from the city, including but not limited to noise complaints, air quality issues and reports of unsanitary conditions etc. It's a deep dive into the top most frequent complaints to understand life in NYC. In our analysis, we want to answer following questions. To do a time series analysis of the storm data to find out the weekly or daily seasonality. Analysis Tasks to be performed: (Perform a service request data analysis of New York City 311 calls) Import a 311 NYC service request. Like NYC.gov, all other web sites operate under the auspices and at the direction of their respective owners who should be contacted directly with questions regarding the content of these sites. School Address (Plain text) - Unspecified Perform a service request data analysis of New York City 311 calls. If nothing happens, download Xcode and try again. 311 Sets New Record with Nearly 40 Million Customer Interactions in 2017 Read the press release Location Type (Plain text) - Type of the location (Residential, Restaurant, Bakery, etc) School Code (Plain text) - Unspecified For the geographic data, I used Leaflet with additional add-ons for custom tiles and layers. Learn more, We use analytics cookies to understand how you use our websites so we can make them better, e.g. City (Plain text) - City for the location School Number (Plain text) - Unspecified NYC311 Enhances Service Request Open Dataset Read the press release. https://www.ncdc.noaa.gov/stormevents/choosedates.jsp?statefips=36%2CNEW+YORK they're used to log you in. For example, for the "tree" category I grouped the complaints through regular expressions on any type that contained the words "tree" or "branch", which returned the below list: After grouping the bulk of the remaining categories this way, I then ordered them by frequency to arrive at the below top ten categories: After this consolidation, I then sought to uncover more insight into seasonality and timing of incident reporting. We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. 311 service request dataset is available at https://data.cityofnewyork.us/Social-Services/311-Service-Requests- from-2010-to-Present/erm2-nwe9. City of New York. A somewhat straightforward interpretation of the above graph's 1,266,555 incidents shows that complaints tend to rise in the winter months, which may help a department forecast their staffing needs. Incident Address (Plain text) - Address of the location |, Beginning in 2010,  NYC launched an initiative to expose government data via, For my Data Visualization project, I took inspiration from, The dashboard has also been published to shinyapps.io where you can interact with the data yourself, Thanks for browsing my work and don't hesitate to reach out if you have any additional questions or feedback on my approach and techniques used within this project-- Feel free to access my code repository on github, Data Science Python: Data Analysis and Visualization, Data Science R: Data Analysis and Visualization, MoMA Collection Analysis - An Art Collector's Tool, Local Used Items Analysis with Python and Tableau, Analyzing Spotify Song Metrics to Visualize Popular Songs, Scraping Sephora and a Flask Querying Application, Best Data Science Bootcamps of 2021: NYC Data Science Academy, Best Naming Conventions When Writing Python Code, How Does Remote Live Learning Work at NYC Data Science Academy? To change the text size on NYC.gov you can use your web browser's settings. Data is presented by category, by City Agency, or by other City organization. Learn more. Learn more. Descriptor (Plain text) - Complaint type label (Heating - Heat, Traffic Signal Condition - Controller) Learn more, We use analytics cookies to understand how you use our websites so we can make them better, e.g. Menu > Zoom > +, In the View menu, select Zoom. How I Started. Status (Plain text) - Categorical (Closed or Pending) Longitude (Number) - Longitude of the location Ferry Terminal Name (Plain text) - Empty Field If nothing happens, download GitHub Desktop and try again. Cannot retrieve contributors at this time. Merge the 311 dataset with the Storms dataset. With that, this visualization tool could be used to further investigate a given address when considering a relocation or event in an area and determine whether it has historically received a large number of complaints. ". From there, worked several years in consulting and technical... © 2020 NYC Data Science Academy You signed in with another tab or window. We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. Latitude (Number) - Latitude of the location One could then investigate further as to whether these reports are more common in commercial or residential areas and understand if any of these factors could be affecting business. Domain: Customer Service.

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