{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d1f1e567fe5c45e593250040ec68f151\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d1f1e567fe5c45e593250040ec68f151-00001.gif","duration":222.1999999999999,"title":"7. Redatam7: Adding Filters to Frequency Tables and Crosstables","description":"In 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.\n\n- Teaches how to add filters to frequency tables and cross-tables.\n- Demonstrates filtering for female-specific data analysis.\n- Highlights the significance of considering non-indigenous individuals and the potential for generating new variables for comprehensive analysis."}