
Tableau public is a free tool.
Tableau desktop, Tableau plep, and Tableau server (cloud) are typical Tableau tools.
Install Tableau Public by downloading from the site, navigate to Tableau, access dashboards, and create an account to download the software.
Tableau cannot be saved locally.
Therefore, we will explain how to publish to the server.
Publishing is free.
There are two patterns for using cumulative.
1. Using a calculated field.
2. Using the standard Tableau functions.
Master Tableau color coding and axis editing to customize bar charts by applying color palettes and hex values, renaming sheets and titles, and hiding axes for clearer visuals.
Learn to build a two-axis view in Tableau by adding a profit measure, switching the profit series to a line, and duplicating regions to ensure color and axis consistency.
Learn to apply filters to worksheets in Tableau, switching between multiple list, single value, and multiple dropdown, using wildcard and partial matches, and filtering by region, year, month, and date.
Learn to create and configure actions in Tableau Public to filter by region, switch actions from filter to select or highlight, and execute them with a single click.
Describes how to create a basic dashboard.
How to add created worksheets, display titles, etc.
Introduction to the use of containers (horizontal and vertical containers).
1:Titles and text can be added to the dashboard by using the text on the dashboard.
2:Implementation of the change of the background color of a sheet or sheets on the dashboard.
Create a pie and donut chart in Tableau using Show Me and double axis; rename the sheet to donuts and use a calculated field to finalize the donut.
Master Tableau Public shows how to switch dates by year, month, day, or week and explains discrete versus continuous dates, including when to use them for axes and line graphs.
Explore typical Tableau data types: string, number, date and time, and learn to convert them by right-clicking the order ID, duplicating sheets to compare results and handle null values.
Learn how to apply and and or logical functions in Tableau Public to filter data by conditions like profit >= 0 and segment contains consumers, with correct syntax and parentheses.
Execute the join in Tableau with the Superstore data, use a unique ID as the join key, and verify the merged result and row count while removing duplicates.
Explore how union in Tableau merges and stacks two tables with the same data, then implement unions, delete the join, and verify the resulting record count.
Create and configure numeric parameters to switch views by year, month, or week in Tableau using the Superstore data source; define parameter names, data types, and values to drive calculations.
Build a calculated field and configure parameters by year, month, and week; show the parameter, adjust date formats, and confirm week display and year aggregation in Tableau.
Build a real-time bar chart in Tableau Public by selecting sales, profit, quantity, or discount from a drop-down, using a string parameter and calculated field on the SuperStore sales data.
Install and set up PostgreSQL to process data with SQL for use in Tableau Public, guiding you through selecting, downloading, and installing the latest Windows version.
Master it from the ground up with Tableau Public (Desktop) for Beginners and make your debut as a BI engineer!
Those who will be using Tableau Desktop in their work
Those who want to use Tableau Desktop for free (Tableau Public can be used (and applied) for free because Tableau Desktop is paid)
Those who want to have a programming mindset with Tableau.
Tableau is a data analysis and BI tool that can be easily used by non-technical people.
Tableau-public will continue to upload data-driven analyses with join processing and complex calculated fields for display on dashboards.
You can also work with parameters in a programming-oriented development dashboard.
Tableau is capable of processing massive amounts of data at high speed. It is also useful for improving business efficiency by enabling rapid data analysis.
In other words, based on the concept of "anyone can easily manipulate data, create reports, and perform analysis," no-code BI tools have been developed.
Tableau can analyze billions of rows of data in a short amount of time. Tableau is often compared to Excel, but Tableau can process much larger amounts of data much faster than Excel.
By the end of this course, you will have mastered the basics of using Tableau!