Research fields

Data science

Data scientists use statistics, code and reports on the same data. Explore a dataset with Stata-style commands, build interactive reports with measures and cross-filtering, and ask questions of the data in plain words.

LabSpace for data scientists

• Explore a dataset

  Describe and summarise the data, check correlations and draw a scatterplot matrix with a few commands, and keep them as a do-file.

  1. Load the dataset
  2. Summarise every variable
  3. Check correlations
  4. Draw a scatterplot matrix

• Build an interactive report

  Start a report from your tables, add cards and charts, and click any chart to filter the rest of the page.

  1. Open a new Insights report
  2. Load the lab operations data
  3. Add a chart of cost by instrument
  4. Click a chart to filter the report

• Ask questions of your data

  Type a question in plain words and Insights answers with a chart built from your measures, which you can keep on the report.

  1. Open the report's question box
  2. Ask a question in plain words
  3. Insights builds the chart
  4. Keep it on the report

The tools behind it

• Stats: Stata-style commands, do-files, a data editor and graphs
• Notebooks: pandas, plots and tables in Python cells
• Insights: Interactive reports with measures, cross-filtering, maps and questions in plain words
• Experiment canvas: Pin results and graphs from any tool where the lab can see them