Data visualization, data storytelling for business
Data visualization is a skill required for business groups to analyze data efficiently, from turning cluttered charts into elegant and insightful data stories. Data visualization experts, measures the four keys to data storytelling, these involves: narrative, data, visuals, and audience. Data stories changed the way we communicate in the age of digital disruptions. Most organization values the importance of data insights in their business framework. How compelling the presentation and the accuracy of the data.
Frequently asked questions on the concept of data visualization
- Why do we need to analyze data?
- How can I focus audience attention on the parts of the story that matter
- How should I position and present insights and narrative
- How do I select the right visualization for my data?
- When should I use a stacked bar chart versus a line chart?
- Why do most data visualization experts dislike pie charts?
- How can the Gestalt principles of visual perception be used to tell better data stories?
Data storytelling for business
Data storytelling is the counterpart of the traditional reporting, proposing and presenting. It’s geared towards business professionals whose work involves big data and charts. Getting to know the fundamentals as to why do we measure data is the simplest walk-through to understand the ideal visualization design to produce a cohesive data story. You should be able to learn the methodology of selecting the right chart for a particular set of data and ways to identify the industry’s best practices for the most common chart types. Also, focus on understanding of the “Gestalt” principals of perception and how they can be used to focus audience attention.
Depending on your usage skills and preference, the basic software requirements used in any data visualization are: Excel, Tableau, PowerBI, Qlik, R, Python and PowerPoint. Hone your skills by doing scientific research in creating and plotting an engaging chart design and its application.
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