"Talk Data to Me - the art of storytelling" by Diana Pholo

7b0645f018c0bddc8ce3900ccc3ba70c?s=47 Pycon ZA
October 11, 2019

"Talk Data to Me - the art of storytelling" by Diana Pholo

Collecting data is now seen as a very important aspect of business. Many companies therefore invest in solutions such as Business Intelligence tools, spreadsheets and dashboards in an attempt to extract useful information from their data. However, these tools still fail to present what is hidden in the data because they do not bring out their underlying significance. This is where data storytelling comes in. It helps to visualise information, understand the narrative behind it and share it.

This talk is aimed at anyone who wishes to get started with storytelling using data. What do you look for? How do you present your findings to stakeholders? Together, we will have a look at common visualisation tools provided Matplotlib, Pandas and Seaborn (accompanied with code snippets and sample outputs). We will then look at the story behind the Harambee youth employment journey data. (Data provided by Harambee Youth Employment Accelerator)

7b0645f018c0bddc8ce3900ccc3ba70c?s=128

Pycon ZA

October 11, 2019
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Transcript

  1. 2.

    Introduction • Data is just data if we do not

    effectively visualize and communicate it.
  2. 10.

    Exploring the data (cont.) • Nice tool: pandas ◦ head()

    ◦ tail() ◦ describe() ◦ isnull() ◦ etc.
  3. 28.

    Background • South African labour market more favourable to men

    • Harambee takes in more women than men
  4. 31.
  5. 33.
  6. 34.

    Best practices • Create interesting presentation • Avoid unnecessary details

    • Define & Understand Audience • Humanize data
  7. 35.

    Don’t • Determine narrative beforehand • Spend more time on

    presentation than questioning results validity • Analyse data without big picture • Use storytelling as a shortcut