# $1.$ Histogram for Ageyears

plt$.$hist$($data$[\text{'}$Ageyears$\text{'}],$ bins$=10,$ edgecolor$=$'black'$)$

plt$.$xlabel$(\text{'}$Age in Years'$)$

plt$.$ylabel$(\text{'}$Frequency$\text{'})$

plt$.$title$(\text{'}$Distribution of Ages'$)$

plt$.$show$()$

# $2.$ Boxplot for Travel$\_$Time by Region

sns$.$boxplot$($x$=$'Region', y$=$'Travel$\_$Time', data$=$data$)$

plt$.$xlabel$(\text{'}$State$\text{'})$

plt$.$ylabel$(\text{'}$Travel Time to School $($Minutes$)\text{'})$

plt$.$title$(\text{'}$Travel Time by State'$)$

plt$.$show$()$

# $3.$ Pie Chart for Region

region$\_$counts $=$ data$[\text{'}$Region$\text{'}].$value$\_$counts$()$

plt$.$pie$($region$\_$counts, labels$=$region$\_$counts.index, autopct$=\text{'}\%1\mathrm{.}1$f$\%\%\text{'},$ startangle$=90)$

plt$.$title$(\text{'}$Proportion of Responses by State'$)$

plt$.$show$()$

# $4.$ Bar Chart for Vegetarian

vegetarian$\_$counts $=$ data$[\text{'}$Vegetarian$\text{'}].$value$\_$counts$()$

plt$.$bar$($vegetarian$\_$counts.index.astype$($str$),$ vegetarian$\_$counts$)$

plt$.$xlabel$(\text{'}$Vegetarian$\text{'})$

plt$.$ylabel$(\text{'}$Count$\text{'})$

plt$.$title$(\text{'}$Count of Vegetarians vs$.$ Non$-$Vegetarians'$)$

plt$.$show$()$

Final Notes

Data Preparation: Make sure your dataset $(`$census$\_$data.csv$`)$ is properly formatted and contains the required variables: $`$Ageyears$`,`$Travel$\_$Time$`,`$Region$`,$ and $`$Vegetarian$`.$

Library Installation: If you need to install the libraries, you can use pip: $```$ pip install pandas matplotlib seaborn $```$

By running this code, you will generate the desired histograms, boxplots, pie charts, and bar charts for your data analysis.# $1.$ Histogram for Ageyears

plt$.$hist$($data$[\text{'}$Ageyears$\text{'}],$ bins$=10,$ edgecolor$=$'black'$)$

plt$.$xlabel$(\text{'}$Age in Years'$)$

plt$.$ylabel$(\text{'}$Frequency$\text{'})$

plt$.$title$(\text{'}$Distribution of Ages'$)$

plt$.$show$()$

# $2.$ Boxplot for Travel$\_$Time by Region

sns$.$boxplot$($x$=$'Region', y$=$'Travel$\_$Time', data$=$data$)$

plt$.$xlabel$(\text{'}$State$\text{'})$

plt$.$ylabel$(\text{'}$Travel Time to School $($Minutes$)\text{'})$

plt$.$title$(\text{'}$Travel Time by State'$)$

plt$.$show$()$

# $3.$ Pie Chart for Region

region$\_$counts $=$ data$[\text{'}$Region$\text{'}].$value$\_$counts$()$

plt$.$pie$($region$\_$counts, labels$=$region$\_$counts.index, autopct$=\text{'}\%1\mathrm{.}1$f$\%\%\text{'},$ startangle$=90)$

plt$.$title$(\text{'}$Proportion of Responses by State'$)$

plt$.$show$()$

# $4.$ Bar Chart for Vegetarian

vegetarian$\_$counts $=$ data$[\text{'}$Vegetarian$\text{'}].$value$\_$counts$()$

plt$.$bar$($vegetarian$\_$counts.index.astype$($str$),$ vegetarian$\_$counts$)$

plt$.$xlabel$(\text{'}$Vegetarian$\text{'})$

plt$.$ylabel$(\text{'}$Count$\text{'})$

plt$.$title$(\text{'}$Count of Vegetarians vs$.$ Non$-$Vegetarians'$)$

plt$.$show$()$

Final Notes

Data Preparation: Make sure your dataset $(`$census$\_$data.csv$`)$ is properly formatted and contains the required variables: $`$Ageyears$`,`$Travel$\_$Time$`,`$Region$`,$ and $`$Vegetarian$`.$

Library Installation: If you need to install the libraries, you can use pip: $```$ pip install pandas matplotlib seaborn $```$

By running this code, you will generate the desired histograms, boxplots, pie charts, and bar charts for your data analysis.