datajournalism-resources
A compilation of links to datajournalism & OSINT tools, guides and resources I find useful to keep at hand.
How to download and setup datajournalism-resources
Open terminal and run command
git clone https://github.com/r3mlab/datajournalism-resources.git
git clone is used to create a copy or clone of datajournalism-resources repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with datajournalism-resources https://github.com/r3mlab/datajournalism-resources/archive/master.zip
Or simply clone datajournalism-resources with SSH
[email protected]:r3mlab/datajournalism-resources.git
If you have some problems with datajournalism-resources
You may open issue on datajournalism-resources support forum (system) here: https://github.com/r3mlab/datajournalism-resources/issuesSimilar to datajournalism-resources repositories
Here you may see datajournalism-resources alternatives and analogs
react-virtualized awesome-nodejs css-protips awesome-interview-questions awesomo free-programming-books books open-source-ios-apps awesome-swift awesome-falsehood github-cheat-sheet frontend-dev-bookmarks awesome-mac awesome-macos-command-line awesome-electron awesome-cpp awesome-shell awesome-remote-job awesome-docker htaccess awesome-macOS Machine-Learning-Tutorials awesome-dotfiles pure-bash-bible structured-text-tools awesome-R awesome-vscode awesome-css-frameworks computer-science-in-javascript HEAD