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q01_plot/build.py

@@ -1,8 +1,15 @@
+# %load q01_plot/build.py
+# Default imports
 import matplotlib.pyplot as plt
 import seaborn as sns
 import pandas as pd
-
 data = pd.read_csv('data/house_prices_multivariate.csv')
-plt.switch_backend('agg')
 
-# Write your code here :
+# Write your code here:
+def plot(num_cols):
+    for i in num_cols:
+        sns.distplot(data[i])
+        plt.show()
+
+
+

q02_plot/build.py

@@ -1,11 +1,17 @@
+# %load q02_plot/build.py
 # Default imports
 import pandas as pd
 import matplotlib.pyplot as plt
 import seaborn as sns
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
-plt.switch_backend('agg')
+
+def plot(num_cols):
+    #data[num_cols].boxplot()
+    for i in num_cols:
+        sns.boxplot(data[i])
+        plt.show()
+
 
 
-# Write your code here:
 

q03_regression_plot/build.py

@@ -1,3 +1,4 @@
+# %load q03_regression_plot/build.py
 # Default imports
 
 import pandas as pd
@@ -6,10 +7,10 @@
 
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
-plt.switch_backend('agg')
 
-
-# Write your code here
+def regression_plot(variable1,variable2):
+    sns.regplot( x=variable1 , y =variable2 ,  data=data)
+    plt.show()
 
 
 

q04_cor/build.py

@@ -1,10 +1,15 @@
+# %load q04_cor/build.py
 # Default imports
 import pandas as pd
 import matplotlib.pyplot as plt
 import seaborn as sns
 
 data = pd.read_csv('data/house_prices_multivariate.csv')
-plt.switch_backend('agg')
+
+def cor(data):
+    df_cor = data.corr()
+    sns.heatmap(df_cor)
+    plt.show()
+
 
 
-# Write your code here