University:
California State University, San Bernardino
Course:
ADMN 2100 | Applied Business Statistics
Academic year:

2024
Views:

36

Pages:

2
Author:

Mikael N.

Data Presentation and visualization 2.1 Introduction to Data Presentation - Data presentation involves organizing and displaying data in a meaningful and understandable manner. - Effective data presentation enhances communication and aids decision-making. 2.2 Trypes of Data Presentation Tabular presentation: organizing data in tables for casry comparison and reference. - Graphical presentation: representing data visually using graphs, charts, and diagrams. 2.3 Common Graphical Representations. - Bar graphs: comparing categorical data or showing changes over time. - Line graphs: displaying trends or changes in continuous data over time. - Pie charts: illustrating proportions or percentages of a whole. - Histograms: visualizing the distribution of continuous data. 2.4 Choosing the Right Visualization - consider the nature of the data and the message you want to convey. - use appropriate graph trypes to effectively communicate your findings. 2.5 Design Principles for Effective Data visualization - Keep it simple: avoid clutter and unnecessary elements. - use clear labels and titles to convey information accurately. - Choose appropriate colors and styles for emphasis and readability. 2.6 Data Visualization Tools - Excel: for creating basic charts and graphs. - Tableau for interactive and dynamic data visualization. - ggplot2 (in R): for customized and advanced graphical representations. 2.7 Interactive Data Visualization - Interactive dashboards: allowing users to explore data dynamically. -Drill-down features: providing deeper insights into specific data points. 2.8 Data Presentation Ethics - Ensure accuracy and integrity in data representation. - Avoid misleading visualizations or distortion of data.