1. Recreate the two plots below using this dataset: diamonds

Note: In the 2nd plot, there are approximately the same number of points in each bin

Use the weather data from the nycflights13 dataset (https://raw.githubusercontent.com/hadley/nycflights13/master/data-raw/weather.csv) to have some fun plotting.

1. How would you look at the overall distribution of temperatures in each airport (origin). For now, don't filter by month/day/hour.

import pandas as pd
weather = pd.read_csv('https://raw.githubusercontent.com/hadley/nycflights13/master/data-raw/weather.csv')
weather.boxplot(column=["temp"],by=["origin"])

2. Plot the temperatures over a warm and a cold month. Is the scale in farenheit or celsius?

import seaborn as sns

## Plot December, using hour as the x axis. 
# seaborn automatically uses the mean as the main line and shades the ranges.
dat = weather[(weather.month==12)]
sns.lineplot(data=dat, x="hour",y="temp",hue="origin",style="origin",palette="tab10", linewidth=2.5)

## Plot July, now using day as the x axis. 
dat = weather[(weather.month==7)]
sns.lineplot(data=dat, x="day",y="temp",hue="origin",style="origin", linewidth=2.5)


Water boils at 100˚C and freezes at ~32˚F. Looking at the plots, it seems that temperatures are given in ˚F. 

Use the tomato data set

1. Make a boxplot of hypocotyl length ("hyp") with the data plotted separately for 'species' and 'trt'. Try making this plot both with and without using facets.

2. Make a plot of the internode data, int1, int2, int3, and int4 where each internode is in a different facet. plot values for each trt and species. Layout the plot so that it is a 2X2 grid

Using the data here please make a bar graph showing the number of men and the number of women (a bar for each) that survived the trip on the titanic at each age point.