311-data
There are 0 repository under 311-data topic.
hackforla / 311-data
Empowering Neighborhood Associations to improve the analysis of their initiatives using 311 data
Language:JavaScript 57- A-TALE-OF-THREE-CITIES
microsoft / A-TALE-OF-THREE-CITIES
Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.
Language:R 12 - Scooters-In-Austin-Data-Analysis
sheetalbongale / Scooters-In-Austin-Data-Analysis
Project analyzing the City of Austin's Open Data for 8.4M shared scooter rides and also compare the city's 311 complaints about the same. Find insights about the popular spots for scooter rides and the correlation if these areas also have more scooter complaints and more | Python Project 1 | UT Data Analysis and Visualization Nov 2019 - May 2020
Language:Jupyter Notebook 7 codefornola / 311
A project to visualize the data of the NOLA 311 system
Language:HTML 4Annotates "Calls For Service" data with the origin neighborhood name
Language:Python 2p-disha / NYC-Open-Dataset-Analysis
Identified data types for each distinct column value on 1900 data sets. For each column, summarized semantic types present in the column, using Fuzzy Logic, Levenshtein distance. Identified & derived inference the 3 most frequent 311 complaint types by borough.
Language:Python 1pratikwatwani / Sensitivity-to-Noise-Nuisance-in-New-York-City
Discovering if there exists a relationship🔗 between specific demographic characteristics in the population that would explain the tolerance in the population to report noise nuisance to the "311" department 👮🏻♂️
Language:Jupyter Notebook 1corralm / san-francisco-311
🗑 Classification: Identify wasteful 311 requests
Language:Jupyter Notebook 0kaustubhmulay / YorkU-311-calls-NYC
An analysis of calls made to NYC's 311 phone number using ELK stack
0- Language:HTML 0
thaophuongtran / 311-Covid-Related-Requests-in-Kansas-City-MO
In response to the widespread of COVID-19, citizens sought information and support from their city governance through the 311 non-emergency service request system. Our analysis showed that the pandemic has led to a considerable decline in the aggregate number of 311 calls in Kansas City; however, “Public Safety”, “Public Health”, “Trash/Recycling”, “Parks & Recreation”, and “Property / Buildings / Construction” experienced substantial increase in call volume. In order to explore whether these changes are driven by covid-related service requests, we use the description text data and identify 2,379 requests related to the pandemic, accounting for 4.3 percent of all non-emergency requests in Kansas City between March and August of 2020. More than half of covid-related requests reported mask violations where people fail to wear masks or do not wear masks properly. Compared to non-covid-related requests, citizens were more likely to seek non-emergency services through phone and email and less likely to use the web as means of communication. In addition, the majority of changes in “Public Safety” and “Public Health” request volumes were driven by these covid-related requests.
Language:R 0- Language:Jupyter Notebook 0
- Language:JavaScript
GeorgiosIoannouCoder / nyc-open-data-311-service-requests
Normalize and organize the NYC Open Data 311 Service Requests dataset in third-normal form. 🗄️
- DC-311-Service-Requests-Household-Income-Relationship
pkhiyara / DC-311-Service-Requests-Household-Income-Relationship
A Python data manipulation and analysis project that examines the relationship between the number of 311 service request calls placed and the average household income of Washington D.C. residents, based on the eight wards that constitute the city, to find a potential correlation through the use of Pandas dataframes and Matplotlib visualizations.
Language:Jupyter Notebook
