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import numpy as np
import scipy
import matplotlib.pyplot as plt
import sys
def compute_r_squared(data, predictions):
'''
In exercise 5, we calculated the R^2 value for you. But why don't you try and
and calculate the R^2 value yourself.
from pandas import *
from ggplot import *
def plot_weather_data(turnstile_weather):
'''
You are passed in a dataframe called turnstile_weather.
Use turnstile_weather along with ggplot to make a data visualization
focused on the MTA and weather data we used in assignment #3.
You should feel free to implement something that we discussed in class
(e.g., scatterplots, line plots, or histograms) or attempt to implement
from pandas import *
from ggplot import *
def plot_weather_data(turnstile_weather):
'''
plot_weather_data is passed a dataframe called turnstile_weather.
Use turnstile_weather along with ggplot to make another data visualization
focused on the MTA and weather data we used in Project 3.
Make a type of visualization different than what you did in the previous exercise.