A new study group for Notebook-Based Workflows for Data Exploration begins Monday, March 7, 2022!
We will meet daily, Monday to Friday. Each session will include time for demonstrative examples, interactive polls, discussion and Q&A.The following topics will be covered:
Working in notebooks
Importing data
Visualizing data
Analyzing data
Making workflows interactive
We will look at various “Workflows” from the Wolfram Documentation Center and see how we can use Wolfram Notebooks to build our own notebook-based workflows for exploring data.
REGISTER HERE: Webinar: Daily Study Group: Notebook-Based Workflows for Data Explorations by Wolfram Research About This Study Group: We use workflows from Wolfram’s extensive documentation system to work with data. We will look at detailed step-by-step recipes for simple computational tasks needed to build more complex technical workflows. The study group starts with a brief introduction to Wolfram Notebooks and then quickly moves on to more practical tasks like importing data, creating visualizations and doing basic analysis. We will end with instructions for utilizing the user-friendly notebook environment and the elegance of the Wolfram Language to quickly create interactive interfaces to aid your data explorations.
Thank you for joining us on day one of this study group. As promised here is the cloud-published version of the notebook showing a simple computational exploration: https://wolfr.am/12MQW522u
Click on “Make Your Own Copy” at the tip right corner to make your personal copy of the notebook and
Try to evaluate the existing code in the notebook
Modify the notebook content to perform your own computational explorations (add some new analysis or perform the same analysis for a different text or dataset e.g. https://datarepository.wolframcloud.com/type/Text/)
Abita, if I am not mistaken you didn’t show the resolution of the homework of the first day, which is to create TOC, on the second day.? Because you mention that you would present on today.
Hi Ricardo,
Yes, I wanted to give a little more time to folks to try out the solution on their own. I will be going over the solution in the “Review Session” on Friday.
I apologize for being unable to attend live as intended. I do want you to know this is very valuable and I am grateful to view the video’s later and work the problems.
If you are facing issues with the visualization functions like MatrixPlot or ReliefPlot in the Bacteriological Topography Exploration example from day 3, ensure that the data is being imported correctly as a SparseArray and not as a String. MatrixPlot and ReliefPlot can work with a SparseArray but will complain in the event your data was imported as one long string.
Hi Abrita, when running the notebook, for some reason I get a List of a SparseArray instead of the pure SparseArray. I solved this with the part operator: