# Use your utils function to load in the data
df = loadAndCleanData("2020_democratic_presidential_nomination-6730.csv")
# Create a list of poll objects from my dataframe
pollNames = pd.unique(df["Poll"])
print(pollNames)
# Create a new object for each poll and print its properties
polls = []
for name in pollNames:
poll = Poll(name, df)
polls.append(poll)
print(poll.outlet)
#print(poll.getMostRecentPoll())
pollCount = poll.countPoll()
print("Number of polls: " + str(pollCount))
print("Change in poll for Sanders " + str(poll.changeInPoll("Sanders")))
print("Average in poll for Sanders " + str(poll.avgInPoll("Sanders")))
print("Median in poll for Sanders " + str(poll.medianInPoll("Sanders")))
print("Correlation between Sanders and Buttigieg " + str(poll.correlatedPolls("Sanders", "Buttigieg")))
print("Correlation between Sanders and Buttigieg " + str(poll.correlatedPolls("Sanders", "Buttigieg")))
print(poll.plotCandidate("Sanders"))
print(poll.plotCandidate("Biden","Bloomberg","Warren","Buttigieg","Klobucahr","Steyer","Gabbard"))
print(statsPerCandidate(df,"Sanders"))
if (pollCount > 1):
print("Biden's Polling Numbers: " + str(poll.avgInPoll("Biden")) + " +/- " + str(poll.pollUncertainty("Biden")))
print("Sanders' Polling Numbers: " + str(poll.avgInPoll("Sanders")) + " +/- " + str(poll.pollUncertainty("Sanders")))
from utils import *
from poll import Poll
df = loadAndCleanData("2020_democratic_presidential_nomination-6730.csv")
# Create a list of poll objects from my dataframe
pollNames = pd.unique(df["Poll"])
print(pollNames)
polls = []
for name in pollNames:
poll = Poll(name, df)
polls.append(poll)
print(poll.outlet)
print(poll.getMostRecentPoll())
print("Number of polls: " + str(poll.countPoll()))
print("Change in poll for Sanders " + str(poll.changeInPoll("Sanders")))
print("Average in poll for Sanders " + str(poll.avgInPoll("Gabbard")))
#print(polls)
