Tableau Fundamentals

Contenido del Curso

Tableau Fundamentals

Tableau Fundamentals

1. Introduction to Tableau

What You Will Learn Tableau Installation First Steps Field Operations and Joins Challenge: Joining Tables and Splitting Columns Exploring the Data Pane Challenge: Identifying Top Performers by Profit Pages, Filters, and Marks Overview Challenge: Finding the Sub-Category with the Lowest Sales

2. Tools in Tableau

Dimensions and Measures Challenge: Comparing Sales and Profit by State Continuous and Discrete Fields Challenge: Identifying the Month with Lowest Sales Dimension Filters Measure Filters Challenge: Finding the Most Profitable Customer in Art Calculated Fields Challenge: Comparing California and New York to Other States Interactive Dashboards with Parameters Challenge: Finding the Sub-Category with the Most Sales Working with Sets Challenge: Analyzing Bookcase Profit Concentration Sets Applications

3. Basic Visualizations

Visualizing Data with Heatmaps Challenge: Identifying Top-Selling Sub-Category by Region Scatter Plots Challenge: Determining the Highest Sales and Profit by State Treemaps Challenge: Analyzing the Least Profitable Sub-Category Combination Charts Challenge: Comparing Sales and Profit Trends for Phones Sparklines

4. More Advanced Visualizations

Bullet Graphs Challenge: Analyzing Profit Changes Between 2016 and 2017 Stacked Area Charts Challenge: Identifying the Region with the Highest Profit Histograms Box Plots

Combination Charts

A combination chart in Tableau allows you to combine two or more chart types into a single visualization. This provides a powerful way to compare different datasets or explore relationships between variables with different characteristics.

Here are the key features of combination charts:

Why Combination Charts?

Combination charts are particularly useful when:

Comparing trends between two measures, such as Profit and Sales;
Analyzing data with different scales to identify patterns and relationships;
Creating more informative visualizations by combining multiple perspectives in a single chart.

¿Todo estuvo claro?

¡Gracias por tus comentarios!

Sección 3. Capítulo 7

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Contenido del Curso

Tableau Fundamentals

Tableau Fundamentals

1. Introduction to Tableau

What You Will Learn Tableau Installation First Steps Field Operations and Joins Challenge: Joining Tables and Splitting Columns Exploring the Data Pane Challenge: Identifying Top Performers by Profit Pages, Filters, and Marks Overview Challenge: Finding the Sub-Category with the Lowest Sales

2. Tools in Tableau

Dimensions and Measures Challenge: Comparing Sales and Profit by State Continuous and Discrete Fields Challenge: Identifying the Month with Lowest Sales Dimension Filters Measure Filters Challenge: Finding the Most Profitable Customer in Art Calculated Fields Challenge: Comparing California and New York to Other States Interactive Dashboards with Parameters Challenge: Finding the Sub-Category with the Most Sales Working with Sets Challenge: Analyzing Bookcase Profit Concentration Sets Applications

3. Basic Visualizations

Visualizing Data with Heatmaps Challenge: Identifying Top-Selling Sub-Category by Region Scatter Plots Challenge: Determining the Highest Sales and Profit by State Treemaps Challenge: Analyzing the Least Profitable Sub-Category Combination Charts Challenge: Comparing Sales and Profit Trends for Phones Sparklines

4. More Advanced Visualizations

Bullet Graphs Challenge: Analyzing Profit Changes Between 2016 and 2017 Stacked Area Charts Challenge: Identifying the Region with the Highest Profit Histograms Box Plots

Combination Charts

A combination chart in Tableau allows you to combine two or more chart types into a single visualization. This provides a powerful way to compare different datasets or explore relationships between variables with different characteristics.

Here are the key features of combination charts:

Why Combination Charts?

Combination charts are particularly useful when:

Comparing trends between two measures, such as Profit and Sales;
Analyzing data with different scales to identify patterns and relationships;
Creating more informative visualizations by combining multiple perspectives in a single chart.

¿Todo estuvo claro?

¡Gracias por tus comentarios!

Sección 3. Capítulo 7

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