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Welcome to the Nightly Decidim Open Data page. Here, you will find data files that are regularly generated from various deliberative and governance processes within Nightly Decidim. These files are made available to promote transparency, accessibility, and collaboration. Below, you will find detailed information on what these files are, how to open and work with them, and a description of the content and structure of each file.
These files are datasets exported from Nightly Decidim's participatory processes, such as proposals, comments, and meetings. They provide raw, structured data that can be used for analysis, research, or integration with other tools. The data is updated automatically every 24 hours, ensuring that you have access to the most recent information.
These files are in CSV (Comma-Separated Values) format, which is a widely-used file format that can be opened and processed by a variety of software applications, including spreadsheet programs, text editors, and data analysis tools.
1. Download the files
Click on the links provided below to download the CSV files to your computer.
2. Open the files
Spreadsheet Applications: You can open CSV files using applications like Microsoft Excel, Google Sheets, or LibreOffice Calc. Simply open the application, then select "Open" from the File menu, and choose the downloaded CSV file.
Text Editors: CSV files can also be opened in any text editor, such as Notepad or Sublime Text. This will display the raw data, with each line representing a row and each value separated by a comma.
Data Analysis Tools: If you are familiar with data analysis tools like Python (with pandas), R, or SQL databases, you can import these CSV files directly for processing and analysis.
3. Working with the data
Filtering and Sorting: In spreadsheet applications, you can filter and sort the data to focus on specific subsets of information.
Analysis: Use the data to perform various analyses, such as counting the number of proposals, analyzing trends in comments, or evaluating participation in meetings.
Visualization: You can create charts, graphs, and other visualizations to help interpret the data.
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