gun-violence-data | accessible database that contains records | Machine Learning library

by jamesqo Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | gun-violence-data Summary

gun-violence-data is a Python library typically used in Artificial Intelligence, Machine Learning applications. gun-violence-data has no bugs, it has no vulnerabilities and it has low support. However gun-violence-data build file is not available. You can download it from GitHub.

This repository contains data for all recorded gun violence incidents in the US between January 2013 and March 2018, inclusive.

Support

Quality

Security

License

Reuse

Support

gun-violence-data has a low active ecosystem.

It has 124 star(s) with 36 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 3 have been closed. On average issues are closed in 9 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of gun-violence-data is current.

Quality

gun-violence-data has 0 bugs and 0 code smells.

Security

gun-violence-data has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

gun-violence-data code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gun-violence-data does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

gun-violence-data releases are not available. You will need to build from source code and install.

gun-violence-data has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed gun-violence-data and discovered the below as its top functions. This is intended to give you an instant insight into gun-violence-data implemented functionality, and help decide if they suit your requirements.

Parse command line arguments
Add fields from an incident URL
Log the first call to the stack
Queries incidents
Returns the number of pages in the last page
Find an element by its value
Click element
Extract fields from an incident URL
Extract fields from text
Extract fields from an incident url
Extract the district fields from the district
Write the header
Add Incident ID to DataFrame
Flush the pages to the serializer
Writes a page to the writer
Load a CSV file
Load a csv file
Sort a DataFrame
Sorts the first incident in the same time

Get all kandi verified functions for this library.

gun-violence-data Key Features

No Key Features are available at this moment for gun-violence-data.

gun-violence-data Examples and Code Snippets

No Code Snippets are available at this moment for gun-violence-data.

Community Discussions

Trending Discussions on gun-violence-data

'Series' object has no attribute 'iplot'

Caught In Potential Infinite Loop

Proper syntax for reading a CSV using Apache Flink (Scala)

Difficulty converting wide format to tidy format in dataset

QUESTION

'Series' object has no attribute 'iplot'

Asked 2020-Jan-20 at 23:29

I have been trying to figure this problem out for the last 2 hours and keep coming up short on how to solve this error - have viewed youtube videos, went through stackoverflow, and I cannot understand where this is going wrong. Please note I am working on an assignment, using Anaconda and Jupyter notebooks, with Python 3.

...

ANSWER

Answered 2020-Jan-20 at 23:29

The temp object here is a pandas.series object which does not have a iplot method when not linked to plotly. We need cufflinks to link plotly to pandas and add the iplot method:

Source https://stackoverflow.com/questions/55132071

QUESTION

Caught In Potential Infinite Loop

Asked 2019-Nov-20 at 21:11

I am simply trying to make a list of district names and District objects from a pandas DataFrame, but for some reason, the code never finishes running. I can't see anywhere that could become an infinite loop, so it is beyond me as to why it gets stuck every time I run it. Here is the section that is getting stuck (particularly the j-iterated for loop):

...

ANSWER

Answered 2019-Nov-20 at 21:03

You may use tqdm package to see in which loop your code sticks.

Source https://stackoverflow.com/questions/58963132

QUESTION

Proper syntax for reading a CSV using Apache Flink (Scala)

Asked 2019-Jul-17 at 18:12

I need to read a CSV file that has 6 columns, of type Integer, String, String, String, Integer, Integer, respectively. I would like to use Apache Flinks' ExecutionEnvironment.readCsvFile method, but I keep getting typing and argument errors. I currently have:

...

ANSWER

Answered 2018-Jun-21 at 06:30

You need to specify a tuple or a case class as input type. Try the following:

Source https://stackoverflow.com/questions/50955510

QUESTION

Difficulty converting wide format to tidy format in dataset

Asked 2018-Jul-19 at 15:56

I am using Kaggles gun violence dataset. My goal is to use Tableau for a interactive visualization for some of the regions and specifics relating to gun crimes there. My goal is to turn this dataframe into tidy format. Link:

https://www.kaggle.com/jameslko/gun-violence-data/version/1

With that being the case, there are a couple columns formatted like this that I am having issues wrangling in R. There are around 20 or so columns, these 4 are formatted like this:

A little background: there can be more than one gun involved in a crime, and more than one participant. Due to this, these columns contain information for each gun/participant split by '||'. The 0:, 1: ... indicates details for that specific gun/participant.

My goal is to capture the unique instances in each column and disregard the 0:, 1:, 2:, ...

Here is my code so far:

...

ANSWER

Answered 2018-Jul-18 at 17:01

I think by tidying you mean split the contents of delimited columns and separate into rows. You can either take the first element or take each element as its own row.

Source https://stackoverflow.com/questions/51406655

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install gun-violence-data

You can download it from GitHub.
You can use gun-violence-data like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

If you're interested in using this dataset for your research, feel free to contact us and ask questions / let us know about your work at gunviolencedata@gmail.com. Please note that we are not affiliated with gunviolencearchive.org in any way.

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