open-data-maker | potentially large csv files | CSV Processing library

by 18F Ruby Version: 1.3.0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | open-data-maker Summary

open-data-maker is a Ruby library typically used in Utilities, CSV Processing applications. open-data-maker has no bugs, it has no vulnerabilities and it has low support. However open-data-maker has a Non-SPDX License. You can download it from GitHub.

The goal of this project is to make it easy to turn a lot of potentially large csv files into open data via an API and the ability for people to download smaller csv files with a subset of the data. Preliminary research suggests that open data users (journalists and others) actually know how to work with spreadsheets really well, but a lot of the data sets that we have in government are huge. The first version of this project will allow us to host a website for an agency with a specific set of csv files, which are deployed with the app. This will allows us to deploy more quickly since there will be a lower risk security profile than if an agency could upload the CSV files (which might be a nice longer term feature).

Support

Quality

Security

License

Reuse

Support

open-data-maker has a low active ecosystem.

It has 204 star(s) with 138 fork(s). There are 137 watchers for this library.

It had no major release in the last 12 months.

There are 56 open issues and 64 have been closed. On average issues are closed in 46 days. There are 14 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of open-data-maker is 1.3.0

Quality

open-data-maker has 0 bugs and 0 code smells.

Security

open-data-maker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

open-data-maker code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

open-data-maker has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

open-data-maker releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

open-data-maker saves you 2068 person hours of effort in developing the same functionality from scratch.

It has 4540 lines of code, 191 functions and 66 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Get all field types for a field type
Read from a S3 bucket .
Parses files and returns list of files .
returns a hash of fields
Loads the config from a YAML file .
Returns true if the configuration exists
Reads a path from a path .
Read a local path from the local file
Loads the data from a YAML file .
Makes a nested hash with the nested nested fields

Get all kandi verified functions for this library.

open-data-maker Key Features

No Key Features are available at this moment for open-data-maker.

open-data-maker Examples and Code Snippets

No Code Snippets are available at this moment for open-data-maker.

Community Discussions

Trending Discussions on open-data-maker

Create new Z-Score column based off unique text values in an existing column

QUESTION

Create new Z-Score column based off unique text values in an existing column

Asked 2020-Nov-26 at 02:46

System: O365

IDE: JupyterLab

Language: Python version 3.7.3

Library: pandas version 1.0.1

Data source: personally built

Http API Documentation: https://github.com/RTICWDT/open-data-maker/blob/master/API.md

Hello, I am wondering if anyone knows how to return a value utilizing a conditional setting within a column range. For instance, I would like to return z-scores based on like values within a range changing once the next group of values is seen.

Steps were taken:

built the below function it seems to be halfway there but not quite so

Code:

...

ANSWER

Answered 2020-Sep-05 at 07:11

Working with your example, you can create dfs to store the mean and standard deviation using .groupby, then access these in a lambda function:

Source https://stackoverflow.com/questions/63749626

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

Vulnerabilities

No vulnerabilities reported

Install open-data-maker

See our Installation Guide.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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