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<speak> Now, you can see the boxplot of GRE score and TOEFL score. <break strength="strong"/>You can observe that there are no circles or outliers in the plot.<break strength="strong"/> Draw box plots for university rating,<break strength="weak"/> SOP, <break strength="weak"/>LOR,<break strength="weak"/> CGPA, and research also. <break strength="strong"/>You can see, LOR is having the outliers, <break strength="weak"/>and all the remaining do not have outliers.<break strength="strong"/> You can see there is a circle on the other side of the boxplot.<break strength="strong"/> LOR has outliers.<break strength="strong"/> You can see the chance of admit that is the output variable and the LOR have the outliers.<break strength="strong"/> We don’t know the count of outliers.<break strength="strong"/> But we know that there are outliers in the chance of admit and LOR.<break strength="strong"/> Next, your job is to remove those outliers. <break strength="x-strong"/>  <break strength="x-strong"/> You can use the interquartile range method to remove outliers.<break strength="x-strong"/> What is IQR or interquartile range? <break strength="x-strong"/> The <emphasis level="strong">interquartile range</emphasis> (<emphasis level="strong">IQR</emphasis>) is the measure of variability based on dividing a data set into quartiles.<break strength="x-strong"/> The interquartile range method sorts the data in the column in ascending or descending order.<break strength="strong"/> Then it will find the median that is the middle value.<break strength="strong"/> It uses the median to divide the entire data into two parts. <break strength="x-strong"/> The middle of the first half is Q1,<break strength="weak"/> and the middle of the second half is Q3.<break strength="strong"/> The middle one is Q2. <break strength="strong"/>There is Q1, Q2, and Q3.<break strength="strong"/> Q1 is the first quartile, <break strength="weak"/>Q2 is the second quartile, <break strength="weak"/>and Q3 the third quartile. <break strength="x-strong"/> You see data.copy will copy the data into another variable data1, <break strength="weak"/>the same data we are copying into another data frame data1. <break strength="x-strong"/>  </speak>