Use .csv or .xlsx files and make sure the selected sheet contains structured rows and column headings.
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Start with the common topics below. If you still need help, contact Azhan through the public portfolio.
Dashboards adapt to the fields detected. If no time field exists, Data Studio uses other meaningful visual fallbacks.
Use Export & Report inside the Studio. Sections adapt to the analysis available in the dataset.
Review missing values, duplicates, inconsistencies, date issues and outliers before applying changes.
Use two compatible versions of a file to identify added, removed, modified and unchanged records.
Forecasts require a usable time field and numeric target with enough historical observations.
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Include what you were trying to do, the screen you were on and any error message you received. Do not send confidential datasets unless a secure method has been agreed.
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Data Studio is independently developed and maintained. If it saves you time or helps you understand your data, you can support continued development with a one-time contribution.