Here is a Quick Recap of Tableau Concepts for Data Analyst Interviews:
Data Source: Connects to various data sources like Excel, databases, or cloud services to pull in data for analysis.
Dimensions & Measures: Dimensions are qualitative fields (e.g., names, dates), while measures are quantitative fields (e.g., sales, profit).
Filters: Used to narrow down the data displayed on your visualizations based on specific conditions.
Marks Card: Controls the visual details of charts, such as color, size, text, and tooltip.
Calculated Fields: Custom calculations created using formulas to add new insights to your data.
Aggregations: Functions like SUM, AVG, and COUNT that summarize large sets of data.
Dashboards: Collections of visualizations combined into a single view to tell a more comprehensive story.
Actions: Interactive elements that allow users to filter, highlight, or navigate between sheets in a dashboard.
Parameters: Dynamic values that allow you to adjust the content of your visualizations or calculations.
Tableau Server / Tableau Online: Platforms for publishing, sharing, and collaborating on Tableau workbooks and dashboards with others.
