q1
, q2
, q3
, q4
, Sheet1
, and Sheet2
. To compare the count of males to females, we need to identify which sheet contains this data. Since the preview provided earlier showed data from q1
with a count for males, we'll start by examining the q1
sheet to look for the relevant data.q1
sheet provides the count for males and females:q2
sheet doesn't seem to contain information about hostel types for male and female students. It appears to contain age-related data instead. We need to check other sheets for the hostel type data.Sheet1
and Sheet2
contain information related to hostel types, indicating different hostel types like Acad MCS
and Scientific MCS
. To analyze the hostel type patterns among male and female students, we will need to examine these sheets further, specifically looking for any gender-related data that might be included.cooking frequency
or similar in Sheet1
and Sheet2
. The columns are labeled with q1
, q2
, etc., without clear indications of what each question pertains to.q5
, q6
) corresponds to cooking frequency. Without this information, we're unable to accurately extract and analyze the desired data.q2
sheet did not contain information about hostel types for male and female students; it appeared to contain age-related data instead.Sheet1
and Sheet2
were identified as containing information related to hostel types, indicating different hostel types like Acad MCS
and Scientific MCS
.gender_cooking_frequency_analysis.csv
was prepared for download.