Description
The preponderance of data in the company through 'Big Data' makes it essential to represent this data graphically so that it is more readable and understandable. Classic or more original graphics, maps, chronologies and development of infographics are the tools of 'Dataviz'. Today, these tools are made accessible through professional software or web applications.
Who is this training for ?
For whom ?Anyone who has to graphically represent data (sales, marketing, HR, production, etc.).
Prerequisites
Training objectives
Training program
- Methodological approach to data visualization
- Identify the types of data available (numeric, categorical, dates, location).
- Collect and enrich the data (Open Data, Social Data, etc.).
- Prepare and aggregate data (Data Preparation).
- Acquire graphic grammar and formatting best practices.
- Overview of tools
- Data visualization Microsoft Excel 0 / 0: new capabilities and limitations.
- Professional Data visualization software: Microsoft Power BI Desktop, Tableau Software Public.
- Online applications ('Software As A Service'): RAW Chart.
- 213216Choose the graph according to the data and the message to be transmitted
- Represent time series (Curves and Trends, Sparklines).
- Represent proportions (Waterfall, Treemap, Nightingale, Venn Diagram, Marimekko, Gauge).
- Represent relationships (Correlogram, Boxplot, Bubble chart, Point cloud, 'Trendalyzer' bubble cloud).
- Represent spatial distribution (Geographic maps, Choropleth maps, Heatmap).
- Represent a corpus of text by a word cloud (Tag Cloud).
- Go to infographics Think about the design of a visual element: font, choice of colors. Define a guideline for visual storytelling.
- Prioritize information.
- Distribute and share an infographic.
