Analysis-of-NYC-Parking-Violations-using-PySpark | 10 million rows parking violations in NYC
kandi X-RAY | Analysis-of-NYC-Parking-Violations-using-PySpark Summary
kandi X-RAY | Analysis-of-NYC-Parking-Violations-using-PySpark Summary
Analysis-of-NYC-Parking-Violations-using-PySpark is a HTML library. Analysis-of-NYC-Parking-Violations-using-PySpark has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
When you think of the Big Apple, you think street performers, a sea of people on foot and piles of cars on the streets. With a population of more than 9 million people, New York City is definitely a nightmare for those looking to find parking. Some say it is easier to recieve a NYC parking ticket than it is to find a legal spot for parking!. In this project, we obtained data from NYC Open Data to explore the various factors that might help prevent getting ticketed in NYC. The dataset consisted of ~10 million rows and had information related to location, time, vehicle type, violation type, etc.
When you think of the Big Apple, you think street performers, a sea of people on foot and piles of cars on the streets. With a population of more than 9 million people, New York City is definitely a nightmare for those looking to find parking. Some say it is easier to recieve a NYC parking ticket than it is to find a legal spot for parking!. In this project, we obtained data from NYC Open Data to explore the various factors that might help prevent getting ticketed in NYC. The dataset consisted of ~10 million rows and had information related to location, time, vehicle type, violation type, etc.
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Analysis-of-NYC-Parking-Violations-using-PySpark has a low active ecosystem.
It has 2 star(s) with 1 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
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Analysis-of-NYC-Parking-Violations-using-PySpark has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
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