“GAPP” for Data Visualization

Overview

Author

Jianyuan(Andy) Hu

Description

As an accountant, GAAP fundamentally guides us working with transactions and money. It’s almost a pet peeve for us to see someone treat cash deposits the same as revenue. However, what if there is “GAAP” for data info graphics? What if our innocent graphs are pet peeve to our target audience? This beginner-friendly seminar addresses the blind spots through a framework for professional data visualization and practical hands-on exercises with modern open-source data analytics tool stacks in R or Python.

Key Takeaways

Upon completion of this course, you will be able to:

  • Understand the basics about R/Python.

  • Appreciate main chart types and when to use each chart type

  • Understand a framework and design thinking for professional data visualization

  • Use R/Python to produce a variety of info graphics

  • Understand the additional design thinking for interactive data visualization (BI) solutions.

  • Understand pros and cons for a variety of common tools with data visualization capabilities and when to choose each.

  • Understand current analytics landscape and data technology landscape.

Target Audience

You can be:

  • A student, who considers brushing up data visualization skills, either for academic/research projects or future employment.

  • An analyst or staff accountant, who are recurringly or ad-hoc tasked with creating data info graphics for business intelligence (BI) apps, presentations or publications.

  • A manager, who look for inspirations/possibilities to increase team’s data visualization or BI capabilities or who lead others for data visualization assignments or dashboard design projects.

Prerequisite(s)

No previous programming knowledge required. This is beginner friendly session.

To get the most out of this session, you should have a few years of experience using Microsoft Excel. You should be comfortable with basic concepts of info graphics and have created some info graphics with Microsoft Excel.