Datasets:

import pandas as pd

import numpy as np

import seaborn as sns

Run this code to plot a histogram of the ages

ax $=$ sns$.$histplot$($x$=$"age",data$=$possum$)$

ax$.$set$\_$ylabel$(\text{'}$frequency$\text{'})$

$...$

$...$

$11*.$ Copy and paste the code from above, and modify the plot by adding the "discrete" command.

$12*.$ Based on the plot above:

What was the most common age of the possums? What was the second most common age?

$13*.$ Create a violin plot of the length of the possums at each site.

$14*.$ Based on your violin plot, the shortest of all the possums live at which site number?

$15*.$ Code: vocab.head$()$

$($Summary Code$)$

vocab$\_$summary$\_$by$\_$year $=$ vocab.groupby$("$year$")[[\text{'}$education$\text{'},$'vocabulary'$]].$mean$()$

vocab$\_$summary$\_$by$\_$year.reset$\_$index$($inplace$=$True$)$

vocab$\_$summary$\_$by$\_$year.head$()$

$17*.$ Create line plots to see how education and vocabulary have changed over the years. You will not use the vocab dataset! Instead, you will use the vocab$\_$summary$\_$by$\_$year dataset, which has already aggregated the values from the original vocab dataset. Don't forget labels!

$($Education and Vocabulary Line Plot$)$

$18*.$ Have education and vocabulary both changed? Does change in education at this point seem to relate to vocabulary scores?

Type your answer here, replacing this text.

$18$a: Considering the $4$ data types we learned about in the first week, what is the data type of the education variable?

$18$b: What is the data type of the vocabulary variable?

$18$c: vocab$\_$scatterplot $=$ sns$.$scatterplot$($x$=$"education",y$=$"vocabulary",data$=$vocab$)$

vocab$\_$scatterplot.set$\_$xlabel$("$education $($years$)")$

vocab$\_$scatterplot.set$\_$ylabel$("$vocabulary test score $($out of $10)")$

Hmm, this plot does not give us much information. Why not? What is it about this plot that makes it impossible for us to see the underlying information? $($Please be as specific as possible. Consider modules on scatter plots.$)$

$19*.$ plot$19$a $=$ sns$.$jointplot$($x$=$"education", y$=$"vocabulary", data$=$vocab,kind$=$"hist", discrete$=$True,cbar$=$True$)$

plot$19$a$.$set$\_$axis$\_$labels$("$education $($years$)",$"vocabulary $($score out of $10)")$

plot$19$a$.$fig.suptitle$("$Plot $19$a$")$

Identify the plot type shown on the middle and edges of the plot.

What observations do you make about the individual distributions of education and vocabulary?

What conclusion do you draw from this plot?

plot$19$b $=$ sns$.$jointplot$($x$=$"education",y$=$"vocabulary",data$=$vocab,kind$=$"reg"$)$

plot$19$b$.$set$\_$axis$\_$labels$("$education $($years$)",$"vocabulary $($score out of $10)")$

plot$19$b$.$fig.suptitle$("$Plot $19$b$")$

What elements have been added to the original plot?

What would you conclude from this plot?