Tableau Visualization, Calculated Fields and Storyboards
A Chinese Tableau learning archive covering worksheets, calculated fields, dashboards and story structure, with notes on data grain, version and licensing boundaries.
What this archive is for
This ZIP is a Chinese learning archive for understanding Tableau's visualization workflow. It focuses on worksheets, calculated fields, dashboards and stories rather than promising an installer, a product license or a complete set of runnable workbooks. After extraction, separate help documents, sample data, workbooks and license notes.
From question to view
Begin with the question a view should answer, then check dimensions, measures, field types, missing values and data grain. Build one small worksheet before adding filters or calculations. A calculated field should express a documented rule and be tested against a hand-checked sample, because a change of data source or aggregation can change the result without changing the chart shape.
Dashboard and story boundaries
Use a dashboard to combine complementary views and use titles, annotations and interaction order to explain the conclusion. A storyboard is useful when readers need a sequence of views; it is not a substitute for defining the data source or validating the calculation. Remove sensitive fields and review rights before publishing screenshots, workbooks or extracts.
Maintenance note
This page was reviewed on 2026-08-23 against the catalog metadata, archive scope and visualization practice notes. Interface labels and workbook compatibility vary by Tableau release, so verify the installed version before following an example.
Save to your cloud drive
Save the complete collection first so files remain together and are easier to access across devices.
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Tableau visualization and calculated-field practice
Confirm the archive scope, start with one data question and validate each calculation before assembling a dashboard or story.
Before you start
- Prepare a ZIP extractor and a Tableau environment compatible with the example files.
- Prepare a structured, anonymized dataset and define one question to answer.
Quick start
- 01
Inspect the extracted files
Read the README, license and sample notes, then distinguish documents, workbooks, data files and external software dependencies.
- 02
Build one worksheet
Select dimensions and measures, inspect types and missing values and create a view that answers one clearly written question.
- 03
Test calculated fields
Break each rule into conditions and aggregations, verify it on a small dataset and observe changes in filters and grain.
- 04
Assemble the dashboard or story
Combine complementary views, add titles and annotations and use a storyboard only when readers need a guided sequence.
Usage tips
- Recheck calculations when the data source, join, field type or software version changes.
- Remove private fields and review rights before publishing extracts, workbooks or screenshots.
- Treat sample data and third-party icons as separately licensed content instead of assuming the archive covers them all.
Troubleshooting and uninstall
Why do fields look wrong in a sample workbook?
Check the data-source path, field types, locale, joins and calculations before judging the view.
Why is a calculated field different from the expected value?
Reproduce the condition, aggregation, date grain and null handling on a small worksheet and compare intermediate results.
Frequently asked questions
What is included in the Tableau archive?
It is a ZIP learning archive that may contain help material, examples or practice files; confirm the actual extracted contents before use.
Does it include a Tableau installer or license?
No such inclusion is assumed. Software installation and subscription rights must be checked separately under current product terms.
What should beginners understand before calculated fields?
Learn dimensions, measures, aggregation, filters and data grain, then verify a calculation with a small sample.
Can examples be published directly?
Review data privacy, third-party assets, workbook rights and product terms before public sharing or commercial use.