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GeoJSON vs JSON: What are the differences?

GeoJSON: A format for encoding a variety of geographic data structures. It is an open standard format designed for representing simple geographical features, along with their non-spatial attributes. It is based on JSON, the JavaScript Object Notation. The features include points, line strings, polygons, and multi-part collections of these types; JSON: A lightweight data-interchange format. JavaScript Object Notation is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language.

GeoJSON and JSON belong to "Languages" category of the tech stack.

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Hi. Currently, I have a requirement where I have to create a new JSON file based on the input CSV file, validate the generated JSON file, and upload the JSON file into the application (which runs in AWS) using API. Kindly suggest the best language that can meet the above requirement. I feel Python will be better, but I am not sure with the justification of why python. Can you provide your views on this?

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PythonPython

Python is very flexible and definitely up the job (although, in reality, any language will be able to cope with this task!). Python has some good libraries built in, and also some third party libraries that will help here. 1. Convert CSV -> JSON 2. Validate against a schema 3. Deploy to AWS

  1. The builtins include json and csv libraries, and, depending on the complexity of the csv file, it is fairly simple to convert:
import csv
import json

with open("your_input.csv", "r") as f:
    csv_as_dict = list(csv.DictReader(f))[0]

with open("your_output.json", "w") as f:
    json.dump(csv_as_dict, f)
  1. The validation part is handled nicely by this library: https://pypi.org/project/jsonschema/ It allows you to create a schema and check whether what you have created works for what you want to do. It is based on the json schema standard, allowing annotation and validation of any json

  2. It as an AWS library to automate the upload - or in fact do pretty much anything with AWS - from within your codebase: https://aws.amazon.com/sdk-for-python/ This will handle authentication to AWS and uploading / deploying the file to wherever it needs to go.

A lot depends on the last two pieces, but the converting itself is really pretty neat.

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Max Musing
Founder & CEO at BaseDash · | 1 upvotes · 140.7K views
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Node.jsNode.js
at

This should be pretty doable in any language. Go with whatever you're most familiar with.

That being said, there's a case to be made for using Node.js since it's trivial to convert an object to JSON and vice versa.

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GoGo

I would use Go. Since CSV files are flat (no hierarchy), you could use the encoding/csv package to read each row, and write out the values as JSON. See https://medium.com/@ankurraina/reading-a-simple-csv-in-go-36d7a269cecd. You just have to figure out in advance what the key is for each row.

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    What is GeoJSON?

    It is an open standard format designed for representing simple geographical features, along with their non-spatial attributes. It is based on JSON, the JavaScript Object Notation. The features include points, line strings, polygons, and multi-part collections of these types

    What is JSON?

    JavaScript Object Notation is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language.

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    Blog Posts

    Aug 28 2019 at 3:10AM

    Segment

    PythonJavaAmazon S3+16
    5
    2150
    What are some alternatives to GeoJSON and JSON?
    JavaScript
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