DATA VISUALIZATION

The 30 Best Data Visualizations of 2023 [Examples].

KEY LEARNING POINTS. TELLING A GOOD DATA STORY. CHOOSING MOST SUITABLE CHART TYPE FOR DATA.

KEY LEARNING POINTS. CHOOSING MOST SUITABLE CHART TYPE FOR DATA.

Data Storytelling.

A Story Cannot Be Told With Just Data On Its Own..

Complicated information is simplified. Making Critical decisions quicker.

Improved Understanding and Retention. Greater Impact.

NARRATIVE. Setting the scene of the current situation..

VISUALS. Graphical aids. WHY DATA STORYTELLING MATTERS?.

VISUALS NARRATIVE DATA. EXPLAIN = NARRATIVE + DATA.

uaJq8!lL13. ENLIGHTEN = DATA + VISUALS. Source: Brent Dykes, DOMO.

NARRATIVE VISUALS DATA. ENGAGE = NARRATIVE + VISUALS.

DATA STORYTELLING. Explain. Help audience interpret and understand your insights..

Adds complexity. Many question marks on black background.

Many question marks on black background. What role does narrative play in data storytelling?.

What Is Data Visualization?.

Graphical representation of data. Observe trends, outliers or patterns.

History Of Data Visualization.

Florence Nightingale. (Source: HULTON ARCHIVE / GETTY IMAGES).

The rose chart of deaths demonstrated that a reduction in hospital deaths would lead to thousands of lives saved..

Napolean’s Russian Campaign, 1812 - 1815. Charles Joseph Minard (1781–1870).

First published cartes figuratives (figurative maps) during the mid-1840s..

History of Data Visualization. The Way Data Was Perceived By The World Changed.

Emergence of Infographics. Technology Improvements.

DATA VISUALISATION IN HEALTHCARE. DATA VISUALISATION IN ECONOMY.

Internalization To easily grasp massive data through visual art/charts.

Human Error Inaccurate assumptions leading to misleading charts due to biased/inaccurate data.

Missing the Whole Picture. Ignoring important details can result in skewed perception of connections.

KEY LEARNING POINTS. CHOOSING MOST SUITABLE CHART TYPE FOR DATA.

KEY LEARNING POINTS. CHOOSING MOST SUITABLE CHART TYPE FOR DATA.

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.

“What I Want to Achieve With This Data?”. Choosing Most Suitable Chart Type for Data.

Its Uses. Choosing Most Suitable Chart Type for Data.

Its Uses. Choosing Most Suitable Chart Type for Data.

Its Uses. Choosing Most Suitable Chart Type for Data.

What Are The Different Data Visualization Tools?.

Data Comparison. Data Relationship. Data Composition.

Pie Chart. Many question marks on black background.

Many question marks on black background. Which chart type is most suitable for displaying trend over time?.

Chart Types. 1. BAR CHART. MAGNITUDE. Singapore (2020) Japan (2020) Queensland (2019) Hong Kong (2019) 0.20399999999999999 0.151 0.42599999999999999 0.20899999999999999.

What is a bar chart?. Each rectangular bar = Category Length of bar = Value of that category.

Using Common Zero-Valued Baseline:. All bar plots to start from 0.

Badge Cross with solid fill. Singapore (2020) Japan (2020) Queensland (2019) Hong Kong (2019) 0.20399999999999999 0.151 0.42599999999999999 0.20899999999999999.

Checkmark with solid fill. Singapore (2020) Japan (2020) Queensland (2019) Hong Kong (2019) 0.20399999999999999 0.151 0.42599999999999999 0.20899999999999999.

Using Colours Wisely:. Avoid different colours. Chart Types.

Badge Cross with solid fill. Colours do not serve a purpose.

Checkmark with solid fill. Desired data point. Singapore (2020) Japan (2020) Queensland (2019) Hong Kong (2019) 0.20399999999999999 0.151 0.42599999999999999 0.20899999999999999.

Checkmark with solid fill. Lowest data point. Green to show lowest.

Checkmark with solid fill. Highest data point. Red to show highest.

2. LINE CHART. CHANGE OVER TIME. Chart Types.