I received a feedback on my code for the question $($check picture attached, it has a preview of the excel file and the codes i have written and their output$)$:

For an excel file named COVID.csv which has the following $($as shown in the picture attached$)$:

Numerical variables: Hours$\_$Worked$\_$Per$\_$Day, Meetings$\_$Per$\_$Day.

Categorical variables: Increased$\_$Work$\_$Hours, Work$\_$From$\_$Home, Productivity$\_$Change, Stress$\_$Level, Health$\_$Issue, Job$\_$Security, Childcare$\_$Responsibilities, Commuting$\_$Changes, Technology$\_$Adaptation, Salary$\_$Changes, Sector, Affected$\_$by$\_$Covid

Question: Run the exploratory data analysis:

iv$.$ Portray advanced graphs $($i$.$e$.,$ graphs based on more than two variables$).$

v$.$ Assess the relationship between variables.

b$.$ Summarise your findings.

In this course, we cover three model types: regression models, classification models, and clustering. Choose the suitable modeling technique for the successful achievement of your objectives and provide the justification.

And here is a follow up question to fix the code please considering the following:

o Many of the columns in your dataset have $0$ & $1$ which are actually categorical

columns. You should not include them in making box plots and histograms of

numeric variables.

$$ Your statement $$Numerical variables $($Hours$\_$Worked$\_$Per$\_$Day, Meetings$\_$Per$\_$Day$)$ are moderately correlated $($as seen in the heatmap$).$ Is not correct. Such a small value cannot be called as moderately correlated.

$$ While it is a requirement of project to present correlations plot along with pair plot and box$-$plots using numerical variables and which you have done, your dataset is mainly categorical. You have not been able to make adequate level of advanced visualizations. Consider making more advanced plots using option of hue in countplot$()$ and rows $/$ column using catplot$()$

$$ Nowhere in your submission you have written in clear terms what type of model $($regression or classification or clustering$)$ you will develop and what is the output variable or label. Please mention what type has been used.