|, 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?
If nothing happens, download the GitHub extension for Visual Studio and try again. As we see there are 57 features/columns and 5000 observations, we would use the relevant features alone by dropping the unwanted columns

NYC 311's mission is to provide the public with quick and easy access to all New York City government services and information while offering the best customer service. Beginning in 2010, NYC launched an initiative to expose government data via NYC Open Data in an effort to "improve the accessibility, transparency, and accountability of City government, this catalog offers access to a repository of government-produced, machine-readable data sets. Anyone can use these data sets to participate in and improve government by conducting research and analysis or creating applications. We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products.

It's a deep dive into the top most frequent complaints to understand life in NYC. Y Coordinate (State Plane) (Number) The City of New York does not imply approval of the listed destinations, warrant the accuracy of any information set out in those destinations, or endorse any opinions expressed therein or any goods or services offered thereby. We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. Taxi Pick Up Location (Plain text) - Empty Field Which is most/least frequent? Learn more. For the second visualization, I developed a dynamic heatmap that can highlight areas of incident concentration from borough to borough. To show some high-level details of the dataset, one can view apply chart filters to view the entire dataset's incident volume by month: As you can see, in the left-hand navigation pane, one can filter by borough, complaint type, and time scale. We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. Community Board (Plain text) - Categorical field (specifies the community board with its code) We use essential cookies to perform essential website functions, e.g.

We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. The agencies which are more efficient in solving SRs. A time series analysis to forecast the volume of calls to be expected on given future date. Vehicle Type (Plain text) - Empty Field GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.

The agency responds to the request, addresses it, and then closes it. Park Facility Name (Plain text) - Unspecified Data set Link- https://github.com/Simplilearn-Edu/Data-Science-with-Python-Project-2-. 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 here. How air quality issues relate to different boroughs? Road Ramp (Plain text) - Empty Field I sought for a way to consolidate these complaint types to make the analysis more interpretable and quickly found that each department had its own labels for complaints. For more information, see our Privacy Statement. You will focus on the data wrangling techniques to understand the pattern in the data and also visualize the major complaint types. NYC OpenData makes the public data generated by various New York City Agencies and other City organizations available for public use. Whether the average response time across complaint types is similar or not (overall) Learn more. School Phone Number (Plain text) - Unspecified Next thing we want to find out or predict is: Predict time required in terms of range of days to resolve a specific complaint in a specific borough.

311 service request dataset is available at https://data.cityofnewyork.us/Social-Services/311-Service-Requests- from-2010-to-Present/erm2-nwe9. For more information, see our Privacy Statement. Domain: Customer Service, (Perform a service request data analysis of New York City 311 calls). 311 Sets New Record with 44 Million Customer Interactions in 2018 Read the press release. You can always update your selection by clicking Cookie Preferences at the bottom of the page. We use essential cookies to perform essential website functions, e.g. How I Started The app leverages the complaints in this data set to understand what life is truly like in New York City, as told, albeit, indirectly from the people themselves. Created Date (Date and Time) - The date and time on which the complaint is raised they're used to log you in. If nothing happens, download the GitHub extension for Visual Studio and try again. Descriptor (Plain text) - Complaint type label (Heating - Heat, Traffic Signal Condition - Controller) Intersection Street 1 (Plain text) - Detail of intersection street if any 311 Service Requests from 2010 to Present. Provide major insights/patterns that you can offer in a visual format (graphs or tables); at least 4 major conclusions that you can come up with after generic data mining. You will focus on the data wrangling techniques to understand the pattern in the data and also visualize the major complaint types. Bridge Highway Name (Plain text) - Empty Field Lastly, I wanted to identify whether any particular areas in New York had a disproportionate amount of incident calls within a given timeframe, so I retained the latitude/longitude data to be able to generate a geographical visualization. Which SRs peaks at what time of year or time of day?

Perform a service request data analysis of New York City 311 calls. Bridge Highway Segment (Plain text) - Empty Field School Name (Plain text) - Unspecified City (Plain text) - City for the location Incident Zip (Plain text) - Zip code for the location

NYC OpenData makes the public data generated by various New York City Agencies and other City organizations available for public use. NYC 311 Service Requests Analysis by Python. How I Started. This data is very interesting to explore having attributes such as zip code, borough, latitude and longitude in addition to details about the requests. To change the text size on NYC.gov you can use your web browser's settings. Learn more. You will be redirected within 5 seconds, assuming the target server is available.
School Region (Plain text) - Unspecified

For the geographic data, I used Leaflet with additional add-ons for custom tiles and layers. Agency (Plain text) - Agency code Work fast with our official CLI. NYC is a trademark and service mark of the City of New York. Compare the average response time for complaints during a storm and otherwise. Each day, NYC311 receives thousands of requests related to several hundred types of non-emergency services, including noise complaints, plumbing issues, and illegally parked cars.


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