Data Visualization Power Point Presentations
- 2. Overview • Data visualization: Data Visualization like a translator that turns complicated data into pictures and graphs. These visuals help us see trends and understand information faster. They're like maps guiding us to make smarter decisions and work better together, especially for businesses—they're like a secret weapon for solving problems and planning ahead.
- 3. Tables • Tables are used when • Specific Numerical Values: When readers need to refer to exact numbers or specific data points, tables provide a clear layout presenting the information directly. • Precise Comparisons: Tables excel in situations where precise, exact comparisons between different values are required. The organized rows and columns allow for easy side-by-side comparison. • Diverse Units or Magnitudes: When the values being displayed have different units or significantly varying magnitudes, tables can neatly organize these values without distorting their representation, making it easier for readers to comprehend. Tables are handy when you want to look at exact numbers or compare things precisely, especially if the numbers have different units or sizes.
- 4. Table Design Principles • Keep the data ink ratio high • Avoid using vertical lines unless needed for clarity • Horizontal lines only for separating column titles from data values or when indicating a calculation that takes place
- 5. Pivot Tables In data visualization, pivot tables help to summarize and arrange data in a way that's easy to turn into charts or graphs. They let you quickly see patterns and trends in your data by rearranging and summarizing information in a visual-friendly format.
- 6. Charts Scatter Charts: Display relationships between two variables by plotting points on a graph. Line Charts: Represent trends or changes in data over time or continuous categories using lines. Bar Charts & Column Charts: Compare categories by showing their values as bars or columns, respectively. Pie Charts: Illustrate proportions or percentages of a whole by dividing a circle into slices. Stacked Column Chart: Shows parts of a whole for multiple categories as stacked bars. Clustered Column Chart: Compares values across categories by placing bars side by side within groups.
- 7. Dashboards • A data-visualization tool that illustrates multiple metrics and automatically updates these metrics as new data become available • Dashboard should provide timely summary information on KPIs that are important to the user • A data dashboard should present all KPIs as a single screen • The KPIs displayed in the data dashboard should convey meaning to its user and be related to the decisions the user makes • A data dashboard should call attention to unusual measures that may require attention (use of color)
- 8. Effective Design Techniques • Data Ink Ratio • The data-ink ratio measures the proportion of what Tufte terms “data-ink” to the total amount of ink used in a table or chart • Examples of Low/High ratios • Removing unnecessary lines • Deleting grid lines • Increasing white space • Removing unnecessary labels
Editor's Notes
- #3: Magnitudes: Scales
- #8: The Data-Ink Ratio is a concept introduced by Edward Tufte in his book The Visual Display of Quantitative Information. It measures the proportion of "data-ink" (the ink used to represent actual data) to the total ink used in a table or chart. The goal is to maximize this ratio by minimizing non-essential ink, thereby making the data more prominent and the visualization clearer. How to Improve Data-Ink Ratio Here are some practical steps to improve the Data-Ink Ratio in your charts and tables: Remove Unnecessary Lines: Low Ratio: Charts with excessive borders, lines, and decorations. High Ratio: Simplified charts with only essential lines, such as axes and data lines. Delete Grid Lines: Low Ratio: Charts with dense grid lines that can clutter the visualization. High Ratio: Charts with minimal or no grid lines, relying on data points and labels for clarity. Increase White Space: Low Ratio: Overcrowded charts with little white space. High Ratio: Charts with ample white space, making the data stand out more clearly. Remove Unnecessary Labels: Low Ratio: Charts with redundant or overly detailed labels. High Ratio: Charts with only essential labels, avoiding repetition and clutter. Examples Low Data-Ink Ratio !Low Data-Ink Ratio Excessive grid lines Thick borders Decorative elements High Data-Ink Ratio !High Data-Ink Ratio Minimal grid lines Thin or no borders Focus on data representation