severo/data-grid-cartograms

AI Summary: The task is to add a new grid cartogram of European countries to the existing collection. This involves transcribing the provided hexagonal grid cartogram (from the linked image) into the project's specified ASCII art format, creating `grid.csv` and `ids.csv` files, and writing a README.md file describing the cartogram. The hexagonal grid presents an additional challenge compared to the square grids already in the collection.

AI Summary: The task is to add a Belarusian districts grid cartogram to the existing collection. This involves transcribing the provided hexagonal grid cartogram (image and URL provided) into the project's specified ASCII art format, creating `grid.csv` and `ids.csv` files, and writing a README.md file describing the cartogram. The hexagonal grid presents an additional challenge compared to the square grids already in the collection.

AI Summary: Add two grid cartograms of the USA and the world from the website nodaysoff.run to the data-grid-cartograms collection. This involves downloading the images, converting them into the specified CSV format (grid.csv and ids.csv), and creating appropriate README files, following the project's directory structure.

AI Summary: The task is to add a historical grid cartogram of Italy from 1913 to the `data-grid-cartograms` project. This involves converting the provided image of the cartogram into the project's specified ASCII art format, creating `grid.csv` and `ids.csv` files, and writing a README.md file with relevant metadata. The existing project documentation provides detailed instructions on the required file formats and directory structure.

AI Summary: The task is to add a grid cartogram of Rennes poll stations to the existing collection. This involves converting the provided image into the specified ASCII art format for `grid.csv`, creating a corresponding `ids.csv` file mapping identifiers to poll station names, and writing a `README.md` file with relevant information. The existing project provides a clear structure and guidelines for contributing.

AI Summary: The task is to convert an image of a grid cartogram showing electoral districts in Lyon into the specified data format for inclusion in the data-grid-cartograms project. This involves creating `grid.csv` (ASCII art representation), `ids.csv` (mapping identifiers to district names), and a `README.md` file, all following the project's directory structure.

AI Summary: The task is to add a grid cartogram of the Swiss cantons to the data-grid-cartograms collection. This involves converting the provided images and data from the linked GitHub repository into the project's specified ASCII art format, creating `grid.csv`, `ids.csv`, and a `README.md` file, and then submitting a pull request to the project.

AI Summary: Transcribe the provided image of a grid cartogram showing Nantes' poll stations into the specified ASCII art format, creating `grid.csv` and `ids.csv` files, and writing a `README.md` file describing the data source and any relevant information. This will be added to the existing collection of grid cartograms.

AI Summary: The task is to add a new grid cartogram of world countries to the existing collection. This involves converting the provided image into the specified ASCII art format for `grid.csv`, creating a corresponding `ids.csv` file mapping identifiers to country names, and writing a `README.md` file with relevant details. The existing project documentation provides the required file structure and format specifications.

AI Summary: The task is to add a grid cartogram of the Brazilian states to the data-grid-cartograms collection. This involves converting the provided image of a grid cartogram into the specified CSV format (grid.csv and ids.csv), creating a README.md file with relevant information, and structuring the files according to the project's directory conventions.

AI Summary: The task is to add a grid cartogram of the provinces of Thailand to the existing collection. This involves converting the provided image and data from the reference URLs into the specified ASCII art format for `grid.csv`, creating a corresponding `ids.csv` file mapping identifiers to province names, and writing a `README.md` file with relevant information. The resulting files should follow the project's directory structure.

AI Summary: The task is to add a grid cartogram of the provinces of Spain to the existing collection. This involves converting the provided image (from the given URL) into the specified ASCII art format for `grid.csv`, creating a corresponding `ids.csv` file mapping identifiers to province names, and writing a `README.md` file with relevant information. The resulting files should follow the project's defined directory structure.

AI Summary: Add a new grid cartogram of the provinces of China to the existing collection. This involves converting the data from the provided GitHub Gist URL into the specified ASCII art format, creating `grid.csv`, `ids.csv`, and a `README.md` file, and then submitting a pull request to the project's GitHub repository.

AI Summary: The task is to add a grid cartogram of the countries of Europe to the data-grid-cartograms collection. This involves converting the provided image of a European country grid cartogram into the specified ASCII art format for `grid.csv`, creating a corresponding `ids.csv` file mapping identifiers to country names, and writing a `README.md` file with relevant metadata. The resulting files should be structured according to the project's directory conventions.

AI Summary: The task is to add a grid cartogram of the Argentinian provinces to the existing collection. This involves converting the provided image from the GitHub repository into the specified ASCII art format for `grid.csv`, creating a corresponding `ids.csv` file mapping identifiers to province names, and writing a `README.md` file with relevant information. The resulting files should follow the project's established directory structure.