Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist
A scatter plot is a type of graph that is commonly used by data analysts to display the relationship between two sets of data. It shows each data point as a dot on the graph, with the position of the dot representing the values of the two variables being compared. The scatter plot allows data analysts to see the distribution of data and identify any patterns or relationships between the two variables.
Tableau is a data visualization software that makes it easy to create scatter plots and gain insights from your data. With Tableau, data analysts can quickly and easily create a scatter plot, customize the appearance of the graph, and interact with the data to explore relationships and identify patterns.
To create a scatter plot in Tableau, you first need to connect to your data source. This could be a database, spreadsheet, or any other type of data file. Once you have connected to your data source, you can drag and drop the fields that you want to compare onto the Rows and Columns shelves.
Next, you need to choose the type of scatter plot that you want to create. Tableau offers several different types of scatter plots, including simple scatter plots, bubble plots, and jittered scatter plots. Each type of scatter plot has its own unique features and uses, so it’s important to choose the right type for your data.
Once you have created your scatter plot, you can customize the appearance of the graph by changing the color, size, and other formatting options. You can also add reference lines, labels, and annotations to provide additional context and insights.
One of the key benefits of using Tableau to create scatter plots is the ability to interact with the data. You can hover over the dots on the scatter plot to see the underlying data, or use filters to highlight specific data points or ranges. This makes it easy to understand the relationship between the two variables and identify patterns and trends.
In conclusion, scatter plots are a powerful tool for data analysts to visualize and understand the relationship between two sets of data. Tableau makes it easy to create and customize scatter plots, and provides interactive features that allow you to explore and understand your data in more depth. Whether you are a seasoned data analyst or just starting out, Tableau is a great tool for creating scatter plots and gaining insights from your data.
Tableau for Data Analyst – Tableau Scatter Plot
Loading...
Reload document 
Open in new tab Latest end-to-end Learn by Coding Projects (Jupyter Notebooks) in Python and R:
All Notebooks in One Bundle: Data Science Recipes and Examples in Python & R.
End-to-End Python Machine Learning Recipes & Examples.
End-to-End R Machine Learning Recipes & Examples.
Applied Statistics with R for Beginners and Business Professionals
Data Science and Machine Learning Projects in Python: Tabular Data Analytics
Data Science and Machine Learning Projects in R: Tabular Data Analytics
Python Machine Learning & Data Science Recipes: Learn by Coding
R Machine Learning & Data Science Recipes: Learn by Coding
Comparing Different Machine Learning Algorithms in Python for Classification (FREE)
There are 2000+ End-to-End Python & R Notebooks are available to build Professional Portfolio as a Data Scientist and/or Machine Learning Specialist. All Notebooks are only $29.95. We would like to request you to have a look at the website for FREE the end-to-end notebooks, and then decide whether you would like to purchase or not.