Tableau Fundamentals

Kursinnehåll

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

Scatter Plots

A scatter plot in Tableau visually represents the relationship between two numeric fields. Each point on the chart corresponds to a combination of values from these fields, allowing you to analyze correlations, trends, and outliers effectively.

Here are the key features of scatter plots:

Why Scatter Plots?

Scatter plots are particularly useful for:

Analyzing the correlation between two measures (e.g., Sales vs. Profit);
Identifying outliers and trends within your data;
Gaining deeper insights by incorporating additional fields for color and size coding.

Var allt tydligt?

Tack för dina kommentarer!

Avsnitt 3. Kapitel 3

Fråga AI

Fråga AI

Fråga vad du vill eller prova någon av de föreslagna frågorna för att starta vårt samtal

Kursinnehåll

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

Scatter Plots

A scatter plot in Tableau visually represents the relationship between two numeric fields. Each point on the chart corresponds to a combination of values from these fields, allowing you to analyze correlations, trends, and outliers effectively.

Here are the key features of scatter plots:

Why Scatter Plots?

Scatter plots are particularly useful for:

Analyzing the correlation between two measures (e.g., Sales vs. Profit);
Identifying outliers and trends within your data;
Gaining deeper insights by incorporating additional fields for color and size coding.

Var allt tydligt?

Tack för dina kommentarer!

Avsnitt 3. Kapitel 3

some-alt