Updated

thesis

API Access

Access dataset files directly from scripts, code, or AI agents.

Browse dataset files
Dataset Files

Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.

/popovayoana/thesis/
https://datahub.io/popovayoana/thesis/_r/-/README.md
Key Files

Start with these files — they give you everything you need to understand and access the dataset.

README.mddocumentation
https://datahub.io/popovayoana/thesis/_r/-/README.md
Typical Usage
  1. 1. Download data resources listed in the metadata file
  2. 2. Read README.md for full context

Data Previews

frequency by country

Loading data...

Schema

nametype
countrystring
country_codenumber
frequency_bstring
frequency_b_codenumber
activity_levelstring
activity_level_codenumber

frequency by age

Loading data...

Schema

nametype
agenumber
frequencystring

Data Files

FileDescriptionSizeLast modifiedDownload
frequency by country
14.2 kB
frequency by country
frequency by age
6.62 kB
frequency by age
FilesSizeFormatCreatedUpdatedLicenseSource
220.8 kBcsvalmost 2 years agoOpen Data Commons Public Domain Dedication and License v1.0

Welcome to the body of your dataset site. Everything above this section is part of the Data package front matter.

Overview

Here is a quick overview of the template structure:

Overview

Structured data

Feel free to customize the data package frontmatter accordingly when publishing your own data.

Unstructured data

You can add as many markdown files to your GitHub repository as you like, and you can freely nest them in subdirectories. You can also enhance your content with other data visualisation components and markdown features.

Note: For a full list of supported markdown features visit https://flowershow.app/docs/syntax

Here are some quick examples:

This is cool!

Here's a callout block.
It supports markdown and wikilinks.

Or you can quickly embed a piece of code as follows:

const ExampleCode = () => {
  return <div> .... </div>;
};

To read more about how this works, refer to the docs page.

Data Analysis