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all right so letamp;#39;s evaluate our data set for any missing data first thing we want to do is weamp;#39;re going to take a look at it and weamp;#39;re going to run descriptives the thing with that is that I usually will run the continuous variables on their own and then Iamp;#39;m going to run the categorical variables because the continuous variables you want a lot of stuff categorical youamp;#39;re really only going to want you know your frequencies in a range maybe some bar charts so first youamp;#39;re going to go to analyze descriptive statistics and then frequencies and then letamp;#39;s pair and then letamp;#39;s look we want it so again weamp;#39;re going to select all of our continuous variables there we go okay okie dokie artichokie here we are so the first thing you want to look for when youamp;#39;re evaluating for missing data is right here right and so youamp;#39;ll notice that the one thing is that under respondents income there is about 61 missing data po
