Sold by: Rearc
Deployed on AWS
World Bank Open Data provides free and open access to various global development data. This release contains tax revenue (% of GDP) for all countries in the world. The data is available from year 1972. Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fines, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax revenue are treated as negative revenue.
Overview
Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fines, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax revenue are treated as negative revenue. This release contains tax revenue (% of GDP) for all countries in the world.
The original publisher of this data is The World Bank. This content is published as World Bank Open Data and provides free and open access to global development data. This work is licensed under a Creative Commons Attribution 4.0 (CC-BY 4.0). This data is anonymized/aggregated.
More Information:
- Source - International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates
- Schema Definitions
- Sample Dataset
- Terms of Use
- World Bank Open Data Homepage
- Frequency: Annual
What's included?
You will receive access to the following:
- Tax revenue (% of GDP) (tax-revenue.csv)
- CloudFormation template that setups up automatic revision updates plus AWS analytics services such as AWS Glue and Amazon Athena (cloudformation.yaml)
- AWS Lambda code for revision updates (post-processing-code.zip)
Please note, in the post processing code, we use a Lambda layer that extends the AWS Python SDK (boto3) that is built into the Lambda Python runtime by adding the AWS Data Exchange and AWS Marketplace Catalog API SDKs as of November 13, 2019. Once the public SDKs are updated to include AWS Data Exchange APIs, we will update the code to remove this Lambda layer.
Deploy CloudFormation template to set up automatic revision updates and AWS Analytics services
Assuming you have subscribed to this product listing, below are the detailed steps to deploy CloudFormation template:
(Please note that you will need IAM permissions for CloudFormation, AWS Data Exchange, IAM, Lambda, Glue, Athena and QuickSight, in order to deploy the CloudFormation template.)
- Under the product listing, scroll down to Data sets section and click on the Data set name
- Under the Revisions section, click on the most recent revision
- Under Assets, checkmark tax-revenue/automation/post-processing-code.zip and click Export to S3
- Choose the S3 Bucket where you would like to store the dataset. Make sure you only choose the S3 bucket. The asset comes with a pre-defined directory structure
- Under Assets, checkmark tax-revenue/automation/cloudformation.yaml and click either Export to S3 or Export to computer
- If you exported the cloudformation.yaml to S3, go to the S3 UI on the AWS console and navigate to the location where the cloudformation.yaml is stored. In S3, click on the cloudformation.yaml and copy the url from the Object URL
- Now, from your AWS Management Console, log onto Amazon CloudFormation UI and click Create Stack
- Under Choose a template either provide the template via uploading from local computer or specify the S3 object url and click Next
- Provide a friendly stack name in the Stack name text box
- In the SourceS3Bucket field, input the S3 bucket name that you chose earlier to store the tax-revenue/automation/post-processing-code.zip file
- Leave rest of the fields as is
- Click Next
- In the Options screen, click Next
- Tick mark the I acknowledge that AWS CloudFormation might create IAM resources. box
- Click Create
At a high level, CloudFormation will setup following resources automatically.
- Lambda function to setup automatic AWS Data Exchange revision updates for this dataset
- CloudWatch Event rule that will automatically trigger the Lambda function every time a new revision update is published
- Another Lambda function to setup AWS Glue and Amazon Athena
- Necessary IAM roles and permissions
If you are interested in looking at the AWS Lambda code or the CloudFormation template, feel free to inspect files inside tax-revenue/automation/post-processing-code.zip and tax-revenue/automation/cloudformation.yaml
Analytics & Visualizations
Apart from the source data, what we are also providing in this product listing is an easy way to interact and extract value out of the dataset. Native AWS Analytics services such as AWS Glue, Amazon Athena and Amazon QuickSight provide different ways to interact and visualize the data. The included AWS CloudFormation template sets up AWS Glue and Amazon Athena automatically in your AWS account.
Data Analysis - This diagram shows how all the AWS services interact
Using AWS Glue and Amazon Athena to run interactive queries against the dataset
Once the CloudFormation template is successfully deployed, the data is immediately searchable, queryable, and available on Athena. You can go to the Athena UI from the AWS Management Console and run SQL queries on the dataset.
Here are some sample Athena SQL queries you can try on the dataset.
# list tax revenue % of GDP for all countries for year 2017
SELECT "country_name", "2017" FROM "tax_revenue"."data";# list yearly tax revenue % of GDP for "united states"
SELECT * FROM "tax_revenue"."data" WHERE "country_name" = 'united states';# compare interest rate spread for "united states" between year "2000" and "2017"
SELECT "country_name", "2000", "2017" FROM "tax_revenue"."data" WHERE "country_name" = 'united states';# compare tax revenue % of GDP between "united states" and "united kingdom"
SELECT * FROM "tax_revenue"."data" WHERE "country_name" IN ('united states', 'united kingdom');Setup Amazon QuickSight to create visualizations on the dataset
Below are the detailed steps to analyze dataset using Amazon QuickSight
- From your AWS Management Console, log onto Amazon QuickSight
- Click Manage data
- Click New data set
- If you ran the provided CloudFormation template, you should already have your database and table with schema created in AWS Glue and Athena
- Click on Athena to connect to your data source
- Provide a name for your QuickSight Data source name and click Create data source
- In the Database: contain sets of table dropdown, choose database as tax_revenue and under Tables: contain the data you can visualize, choose table as data
- At this point, you can Edit/Preview data if you like
- You can then click on Select
- In the Finish data set creation screen, you can select Visualize to finish the creation of data set process
- Visualize the data set by selecting the Horizontal bar chart from the Visual types
- Drag country_name field to the Y axis in Field wells and for e.g. drag 2017 field in the Value block to chart the data
You are now ready to start analyzing and visualizing the dataset.
Contact Information
If you have questions about the source data, please contact data@worldbank.org . If you have any questions about the CloudFormation stack, Lambda code or any of the AWS services being used, please contact data@rearc.io .
About Rearc
Rearc is a cloud, software and services company. We believe that empowering engineers drives innovation. Cloud-native architectures, modern software and data practices, and the ability to safely experiment can enable engineers to realize their full potential. We have partnered with several enterprises and startups to help them achieve agility. Our approach is simple — empower engineers with the best tools possible to make an impact within their industry.
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Dimensions summary
This listing uses a single free pricing dimension called Product Access (Units). It grants you access to the dataset as a subscriber. There are no tiers, usage charges, or size-based options to compare. You subscribe once and gain access to the data at no cost. The vendor publishes free, publicly available datasets on AWS for subscribers to consume in a consistent way, removing the work of sourcing and processing the data yourself.
Top-of-mind questions for buyers
It grants you subscriber access to this dataset at no cost. You subscribe once and can consume the data through AWS. There are no charges tied to how much data you pull or how often you access it.
No. This listing has a single free access dimension with no usage-based metering. Accessing the data more often or pulling larger volumes does not add software charges. Underlying AWS service fees for storage or transfer may still apply separately.
The vendor publishes free, publicly available datasets on AWS for subscribers to consume in a consistent way. The vendor handles sourcing and processing, so you access prepared data without doing that work yourself. Contact the vendor for specific format and update details.
www.rearc.io
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Refunds Not Applicable
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Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Tax Revenue (% of GDP) | World Bank Open Data | All historical revisions | All future revisions | Not included | Not included |
Resources
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