geodata-br | Free open public domain geographic data of Brazil | Dataset library

by paulofreitas Python Version: Current License: Non-SPDX

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

kandi X-RAY | geodata-br Summary

geodata-br is a Python library typically used in Artificial Intelligence, Dataset applications. geodata-br has no bugs, it has no vulnerabilities and it has low support. However geodata-br build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Free open public domain geographic data of Brazil available in multiple languages and formats.

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Quality

Security

License

Reuse

Support

geodata-br has a low active ecosystem.

It has 59 star(s) with 14 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 45 have been closed. On average issues are closed in 138 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of geodata-br is current.

Quality

geodata-br has no bugs reported.

Security

geodata-br has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

geodata-br 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

geodata-br releases are not available. You will need to build from source code and install.

geodata-br has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Encodes tables
Return the EncoderFormat object
Logs an error message
Terminate the server
Convert a list of entities to a dict
Return a Repository for the given entity
Return a list of child classes
Spawns all subdistricts
Create a db session
Translate a message
Construct a sentence from a sequence of items
Seed all states in the repository
Find an EncoderFormat by extension
Compile the index
Seed all mesoregions
Return the EncoderFormat object for this file
Encodes the data into a CSV file
Compile the table
Load modules from a given package
Seed the subregion
Encodes data into a binary file
Spawns a new seed
Encodes the given dictionary into ods file
Encodes the data into a binary file
Encodes the given dictionary
Compile the foreign key constraint
Build a dataset

Get all kandi verified functions for this library.

geodata-br Key Features

No Key Features are available at this moment for geodata-br.

geodata-br Examples and Code Snippets

No Code Snippets are available at this moment for geodata-br.

Community Discussions

Trending Discussions on geodata-br

Chloropeth map in R not working out, I think the problem is in merging the data

QUESTION

Chloropeth map in R not working out, I think the problem is in merging the data

Asked 2020-Jan-29 at 00:19

I'm trying to do a chloropeth map following this guide: https://www.r-graph-gallery.com/327-chloropleth-map-from-geojson-with-ggplot2.html

I mixed a bit of the tutorial with this answer(Chloropleth map with geojson and ggplot2), since I wasn't getting the result I expected. The cities were being filled with the same color, and it seemed as R wasn't understanding the data as numeric, and filled every city that had at least 1 user with the default color. (tried using as.numeric, didnt work either)

I downloaded "users by city" data from my website from Google Analytics using

...

ANSWER

Answered 2020-Jan-28 at 22:09

It looks like you have a couple relatively large values, while most are small. This causes 'skewing' of your color scale in a way that looks less interesting. Instead of graphing number of users, consider mapping based on a quantile .

Here is an implementation of grouping into quantiles using cut2() from Hmisc. In this case, values are cut into 5 groups.

Source https://stackoverflow.com/questions/59954168

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

Vulnerabilities

No vulnerabilities reported

Install geodata-br

You can download it from GitHub.
You can use geodata-br 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

Thank you for considering to contribute to this project. Have you found any misleading information or have an idea for a missing feature? You are always welcome to open an issue or provide a pull-request!.

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