Have you ever wondered about all the personal data that Facebook collects on its over 2 billion users? It’s time to harness the information Facebook has on you for your own good and discover some insights.
Tune into our livestream this Thursday at 1pm EDT, where we’ll show you how to download and analyze your Facebook messenger chat data and get a better understanding of your relationships with your friends.
In order to follow along with the stream on your own computer and using your own Facebook data, complete the below steps before Thursday at 1pm EDT:
- Install Python and Jupyter Notebooks on your computer with Anaconda / Miniconda (see below for further instructions).
- Download your Facebook Messenger Chat Data
- Go to www.Facebook.com and click the arrow on the top right to access your "Settings"
- Click on "Your Facebook Information"
- Click "Download Your Information"
- Update the "Format" field to "JSON" and the "Media Quality" field to "Low"
- Click "Deselect All" on the right-hand side
- Click the check-box for "Messages"
- Click "Create File". Facebook will notify you when the file is ready for download
- Download your file
Weren’t able to download your Facebook Messenger data in time for the livestream? No worries! Download our sample data to follow along live, and analyze your personal data later.
Installation: Miniconda
This video details how to download and install Miniconda.
Your browser does not support the video tag.
To install Miniconda, follow these steps:
-
Navigate to the Miniconda download page: Miniconda
-
Select the Python 3.6 installer for your computer’s operating system.
-
Locate the installer that you downloaded using Explorer (Windows) or Finder (Mac OS).
-
Run the installer. Use the following instructions based on your computer’s operating system:
Mac OS:
-
You may receive a notification about XCode requiring additional component. Click "Install" and enter your password to proceed.
-
Open your terminal and navigate to the folder where you downloaded the installer. Type the following command in the terminal and press "Return" on your keyboard:
bash miniconda-filename.sh
miniconda-filename.sh
is a fictional file name in the example above. Your file name will look something like Miniconda3-latest-MacOSX-x86_64.sh
.
3. Follow all instructions in the terminal (you can press Enter
as-needed and type yes
when necessary).
Windows:
- Follow the installation instructions provided by the installer.
Was the Installation Successful?
To test whether your installation was successful (regardless of your computer’s operating system), type the following command into your terminal:
conda list
You should see a list of all the packages that Miniconda installed. If you’re on a computer that uses Windows, you may have to first navigate to the folder where you installed Miniconda for the conda list
command to function properly.
Congrats! You now have Miniconda (with Python 3.6) installed on your computer, and you are ready for some data science!
Installing Jupyter
To install Jupyter with Anaconda / Miniconda, enter the following on the command line:
conda install jupyter
You may need to enter y
to confirm the install. conda
will install Jupyter, an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.
To learn more about conda
, visit the Conda documentation at the following link:
Required Data Science Packages
To make the most of Anaconda / Miniconda in our analysis, you’ll need the following data science packages. Use conda install
to install them.
pandas
nltk
matplotlib
For example:
conda install pandas