You can generate fake data based upon the data dictionaries included.
You need the following tools to use the data-generator:
The installation of the different packages is more or less the same over different platforms. We still have documentation for Mac and Windows.
PLease use node version =< v10.x
Download it from npm. Install the package by clicking on it. If you already installed NodeJS on your system you can switch version (if needed) by using NVM. Please check: https://nvm.sh.
When you have installed NodeJS you can run the following command on the commandline in the terminal:
npm install fakeit -gThere you are all set to use fakeit.
If you do not have git on your system, download it here: git. Execute the installer.
Then on the commandline you can execute this:
git clone https://github.com/lifecycle-project/analysis-tools.gitNow you are all set to generate fake data.
Download it from npm. Install the package by clicking on it. If you already installed NodeJS on your system you can switch version (if needed) by using NVM. Please check: https://nvm.sh.
When you have installed NodeJS you can run the following command on the commandline in the terminal:
npm install fakeit -gThere you are all set to use fakeit.
You will have to clone this repository to obtain the models for generating fake data.
If you do not have git on your system, download it here: git. Execute the installer.
Then on the commandline you can execute this:
git clone https://github.com/lifecycle-project/analysis-tools.gitNow you are all set to generate fake data.
Generate the fake data based upon the dictionaries that are in the dictionaries directory. There is currently 1 version of the dictionary: v1_0.
Open a terminal and navigate to the ~/lifecycle-project/analysis-tools/ repository:
cd ~/lifecycle/analysis-tools/data-generator;
fakeit directory output --verbose --count 3000 --format csv dictionaries #(to generate specific file /directory/file)
You can check the help by executing this command:
fakeit -hThe files will be generated in the output directory.
Open a commandline interface (execute cmd.
Navigate to the ~/lifecycle-project/analysis-tools repository:
cd ~/lifecycle/analysis-tools/data-generator;
fakeit directory output --verbose --count 3000 --format csv dictionaries/If you need more memory you need to add this flag to the command:
NODE_OPTIONS=--max_old_space_size=8192 && fakeit directory output --verbose --count 3000 --format csv dictionaries/You can check the help by executing this command:
fakeit -hThe files will be generated in the output directory.