The importance of interpretation and presentation of data and data analysis

Development, basic principles of cognitive processes and memory processes, the importance of visualization perception.

Principles of visual aesthetics

Colors and color schemes, typography, layout and structuring of individual elements and their relationship. Influence of visual rendering on content perception.

Basic graphic and visualization components

Including interactive elements for the presentation of numerical and other types of data, orientation, metric display scale, principles of graphical integrity.

Presentation platforms

Reports, dashboards, scorcards, mobile platforms and the most commonly used technologies.

Use of graphical methods in data research and data analysis

Presentation and visualization of data for operational decision-making (sensor data, real-time data, data streams, etc.)

Visualization of large data volumes, interpretation and visualization of web logs, social networks and clickstream data

Interpretation and methods of visualization of multidimensional geographical and spatial data

Visualization of graph analysis data and hierarchical data

Different ways of using graphic and visualization elements depending on specific data and presentation platforms

Visual influence of the target respondent using the composition of colors and fonts, emphasizing parts of the content by the layout of graphic elements.

Methods and ways of presentation of analytical studies and projects

The importance of context, targeting the results, so-called story telling, presentation of key outputs of the analysis.

The most used tools and platforms for data visualization and presentation, their comparison, pros and cons, use depending on specific tasks