Thanks for your provided details. Since Dax is calculated based on column value not row value, the last row in your picture cannot achieved if there is no continued date after 2020/1/31 because it add a new row in your dataset. Basically the previous row measure will be like this:The row.name == 0 is to return the current value for the first row as expected, because there is no previous row in that case. 3. The last_row = df.iloc [ [last_row_id]].iloc [0].to_dict () is to access the last row from df using the index of the row and the get the values as column name to value dictionary mapping. 4.In both cases the NEW and OLD virtual tables refer to the table the trigger is defined on. NEW contains the new version of the row that was inserted or changed. OLD contains the pre-change version of the row. OLD is only defined in an update trigger as there is no old version on an insert.Old Row Rad Chicks (@oldrowradchicks) on TikTok | 1.2M Likes. 220.8K Followers. 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