video1.0<iframe src="https://www.loom.com/embed/d1f1e567fe5c45e593250040ec68f151" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/d1f1e567fe5c45e593250040ec68f151-00001.gif222.1999999999999In this tutorial, he teaches how to add filters to frequency tables and cross-tables in the statistical processor. He starts by demonstrating how to filter a frequency table using the example variable B29C, specifying the filter condition, and displaying the filtered data. Then, he moves on to a cross-table analysis by selecting a relevant variable, adding a filter for females, and creating a cross-tabulation between indigenous nations and job categories. He emphasizes the value of this analysis in understanding the distribution of job categories among indigenous groups, particularly female-owned businesses. He saves the results as "Bolivia 4" and highlights the importance of considering individuals who do not identify as indigenous in the analysis. - Teaches how to add filters to frequency tables and cross-tables. - Demonstrates filtering for female-specific data analysis. - Highlights the significance of considering non-indigenous individuals and the potential for generating new variables for comprehensive analysis.