🛠️ Scheduled Maintenance | We’ll be undergoing scheduled maintenance and upgrades between 00:00 PST Jan 26th until 00:00 PST Jan 28th. There may be brief interruption of services in that period. We apologize for the inconvenience.

The 365 Data Science team is proud to invite you to our own community forum. A very well built system to support your queries, questions and give the chance to show your knowledge and help others in their path of becoming Data Science specialists.
Anybody can ask a question
Anybody can answer
The best answers are voted up and moderated by our team

Customer analytics

Customer analytics


I’m totally new to the coding environment, no prior knowledge whatsoever. I hope my question doesn’t sound stupid.
In the section for importing and exploring data segmentation of the customer analytics tutorial, I really did not understand how the tutor got to that point where the python work station was categorized into; Libraries, Import data, Explore data, Correlation estimate.

1 Answer

365 Team

Hi Lucky, 
definitely not a stupid question and I’m glad you asked. In a Jupyter Notebook a cell can be:
Code, which is executable. Like here:

Or it can be a Markdown, which is text, like the ‘Libraries’ cell:

You can select which option you’d like from the Dropdown menu in the toolbar on top of the code, highlighted in yellow.
So, in the Customer Analytics Notebooks, we’ve added Markdown cells with the title of each section, for better readability. If you go to any of these cells and double click it you’ll see the raw text.
As a side note, for those Notebooks we have Latex formating, which may look a bit strange. But in general all you need in a markdown is #(this determines the size of text, ## makes it smaller, and so on) a space and your text, like so:

## -Library