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The 30 Best Data Visualizations of 2023 [Examples].
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KEY LEARNING POINTS. TELLING A GOOD DATA STORY. CHOOSING MOST SUITABLE CHART TYPE FOR DATA.
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KEY LEARNING POINTS. CHOOSING MOST SUITABLE CHART TYPE FOR DATA.
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Data Storytelling.
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A Story Cannot Be Told With Just Data On Its Own..
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Complicated information is simplified. Making Critical decisions quicker.
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Improved Understanding and Retention. Greater Impact.
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NARRATIVE. Setting the scene of the current situation..
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VISUALS. Graphical aids. WHY DATA STORYTELLING MATTERS?.
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VISUALS NARRATIVE DATA. EXPLAIN = NARRATIVE + DATA.
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uaJq8!lL13. ENLIGHTEN = DATA + VISUALS. Source: Brent Dykes, DOMO.
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NARRATIVE VISUALS DATA. ENGAGE = NARRATIVE + VISUALS.
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DATA STORYTELLING. Explain. Help audience interpret and understand your insights..
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Adds complexity. Many question marks on black background.
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Many question marks on black background. What role does narrative play in data storytelling?.
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What Is Data Visualization?.
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Graphical representation of data. Observe trends, outliers or patterns.
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History Of Data Visualization.
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Florence Nightingale. (Source: HULTON ARCHIVE / GETTY IMAGES).
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The rose chart of deaths demonstrated that a reduction in hospital deaths would lead to thousands of lives saved..
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Napolean’s Russian Campaign, 1812 - 1815. Charles Joseph Minard (1781–1870).
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First published cartes figuratives (figurative maps) during the mid-1840s..
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History of Data Visualization. The Way Data Was Perceived By The World Changed.
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Emergence of Infographics. Technology Improvements.
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DATA VISUALISATION IN HEALTHCARE. DATA VISUALISATION IN ECONOMY.
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Internalization To easily grasp massive data through visual art/charts.
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Human Error Inaccurate assumptions leading to misleading charts due to biased/inaccurate data.
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Missing the Whole Picture. Ignoring important details can result in skewed perception of connections.
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KEY LEARNING POINTS. CHOOSING MOST SUITABLE CHART TYPE FOR DATA.
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KEY LEARNING POINTS. CHOOSING MOST SUITABLE CHART TYPE FOR DATA.
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The visualization you create depends on: The questions you are trying to ask The properties of your data How you want to present and communicate your insights to others.
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“What I Want to Achieve With This Data?”. Choosing Most Suitable Chart Type for Data.
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Its Uses. Choosing Most Suitable Chart Type for Data.
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Its Uses. Choosing Most Suitable Chart Type for Data.
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Its Uses. Choosing Most Suitable Chart Type for Data.
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What Are The Different Data Visualization Tools?.
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Data Comparison. Data Relationship. Data Composition.
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Pie Chart. Many question marks on black background.
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Many question marks on black background. Which chart type is most suitable for displaying trend over time?.
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Chart Types. 1. BAR CHART. MAGNITUDE. Singapore (2020) Japan (2020) Queensland (2019) Hong Kong (2019) 0.20399999999999999 0.151 0.42599999999999999 0.20899999999999999.
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What is a bar chart?. Each rectangular bar = Category Length of bar = Value of that category.
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Using Common Zero-Valued Baseline:. All bar plots to start from 0.
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Badge Cross with solid fill. Singapore (2020) Japan (2020) Queensland (2019) Hong Kong (2019) 0.20399999999999999 0.151 0.42599999999999999 0.20899999999999999.
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Checkmark with solid fill. Singapore (2020) Japan (2020) Queensland (2019) Hong Kong (2019) 0.20399999999999999 0.151 0.42599999999999999 0.20899999999999999.
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Using Colours Wisely:. Avoid different colours. Chart Types.
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Badge Cross with solid fill. Colours do not serve a purpose.
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Checkmark with solid fill. Desired data point. Singapore (2020) Japan (2020) Queensland (2019) Hong Kong (2019) 0.20399999999999999 0.151 0.42599999999999999 0.20899999999999999.
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Checkmark with solid fill. Lowest data point. Green to show lowest.
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Checkmark with solid fill. Highest data point. Red to show highest.
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2. LINE CHART. CHANGE OVER TIME. Chart Types.