commit-live-students · vivekshingate · Oct 27, 2018 · Oct 29, 2018 · Oct 29, 2018 · Oct 29, 2018
diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
diff --git a/q01_calculate_statistics/__pycache__/__init__.cpython-36.pyc b/q01_calculate_statistics/__pycache__/__init__.cpython-36.pyc
diff --git a/q01_calculate_statistics/__pycache__/build.cpython-36.pyc b/q01_calculate_statistics/__pycache__/build.cpython-36.pyc
diff --git a/q01_calculate_statistics/build.py b/q01_calculate_statistics/build.py
@@ -1,11 +1,26 @@
+# %load q01_calculate_statistics/build.py
 # Default Imports
 import numpy as np
 import pandas as pd
 
-data = pd.read_csv('data/house_prices_multivariate.csv')
-sale_price = data.loc[:, "SalePrice"]
-
 
 # Return mean,median & mode for the SalePrice Column
 # Write your code here
+def calculate_statistics():
+
+    data = pd.read_csv('data/house_prices_multivariate.csv')
+    sale_price = data.loc[:, 'SalePrice']
+
+    mean   = sale_price.mean()
+    median = sale_price.median()
+    mode   = sale_price.mode()[0]
+
+    return mean,median,mode
+
+calculate_statistics()
+
+
+
+
+
 
diff --git a/q01_calculate_statistics/tests/__pycache__/__init__.cpython-36.pyc b/q01_calculate_statistics/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q01_calculate_statistics/tests/__pycache__/test_q01_plot.cpython-36.pyc b/q01_calculate_statistics/tests/__pycache__/test_q01_plot.cpython-36.pyc
diff --git a/q02_plot/__pycache__/__init__.cpython-36.pyc b/q02_plot/__pycache__/__init__.cpython-36.pyc
diff --git a/q02_plot/__pycache__/build.cpython-36.pyc b/q02_plot/__pycache__/build.cpython-36.pyc
diff --git a/q02_plot/build.py b/q02_plot/build.py
@@ -1,12 +1,34 @@
+# %load q02_plot/build.py
 # Default Imports
+import numpy as np
 import pandas as pd
 import matplotlib.pyplot as plt
 from greyatomlib.descriptive_stats.q01_calculate_statistics.build import calculate_statistics
 
-plt.switch_backend('agg')
-dataframe = pd.read_csv('data/house_prices_multivariate.csv')
-sale_price = dataframe.loc[:, 'SalePrice']
+#To be uncommented while test case check
+#plt.switch_backend('agg')
+
 
 
 # Draw the plot for the mean, median and mode for the dataset
+def plot():
+
+    dataframe = pd.read_csv('data/house_prices_multivariate.csv')
+    sale_price = dataframe.loc[:, 'SalePrice']
+
+    plt.hist(sale_price, bins=60)
+
+    plt.axvline(x=sale_price.mean(),color='red',linestyle='--',label='Mean')
+    plt.axvline(x=sale_price.median(),color='black',linestyle='--',label='Median')
+    plt.axvline(x=sale_price.mode()[0],color='orange',linestyle='--',label='Mode')
+
+    plt.legend(loc=0)
+
+    plt.show()
+
+plot()
+
+
+
+
 
diff --git a/q02_plot/tests/__pycache__/__init__.cpython-36.pyc b/q02_plot/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q02_plot/tests/__pycache__/test_q02_plot.cpython-36.pyc b/q02_plot/tests/__pycache__/test_q02_plot.cpython-36.pyc
diff --git a/q03_pearson_correlation/__pycache__/__init__.cpython-36.pyc b/q03_pearson_correlation/__pycache__/__init__.cpython-36.pyc
diff --git a/q03_pearson_correlation/__pycache__/build.cpython-36.pyc b/q03_pearson_correlation/__pycache__/build.cpython-36.pyc
diff --git a/q03_pearson_correlation/build.py b/q03_pearson_correlation/build.py
@@ -1,9 +1,20 @@
+# %load q03_pearson_correlation/build.py
 # Default Imports
 import pandas as pd
-
-dataframe_1 = pd.read_csv('data/house_prices_multivariate.csv')
-dataframe_2 = pd.read_csv('data/house_prices_copy.csv')
-
+from scipy.stats.stats import pearsonr
 
 # Return the correlation value between the SalePrice column for the two loaded datasets
 # Your code here
+def correlation():
+
+    dataframe_1 = pd.read_csv('data/house_prices_multivariate.csv')
+    dataframe_2 = pd.read_csv('data/house_prices_copy.csv')
+
+    return pearsonr(dataframe_1.SalePrice, dataframe_2.SalePrice)[0]
+
+
+#Call to the function
+correlation()
+
+
+
diff --git a/q03_pearson_correlation/tests/__pycache__/__init__.cpython-36.pyc b/q03_pearson_correlation/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q03_pearson_correlation/tests/__pycache__/test_q03_correlation.cpython-36.pyc b/q03_pearson_correlation/tests/__pycache__/test_q03_correlation.cpython-36.pyc
diff --git a/q04_spearman_correlation/__pycache__/__init__.cpython-36.pyc b/q04_spearman_correlation/__pycache__/__init__.cpython-36.pyc
diff --git a/q04_spearman_correlation/__pycache__/build.cpython-36.pyc b/q04_spearman_correlation/__pycache__/build.cpython-36.pyc
diff --git a/q04_spearman_correlation/build.py b/q04_spearman_correlation/build.py
@@ -1,8 +1,16 @@
+# %load q04_spearman_correlation/build.py
 # Default Import
 import pandas as pd
+from scipy.stats import spearmanr
 
 dataframe_1 = pd.read_csv('data/house_prices_multivariate.csv')
 dataframe_2 = pd.read_csv('data/house_prices_copy.csv')
 
 # Your code here
+def spearman_correlation():
+    return spearmanr(dataframe_1.SalePrice,dataframe_2.SalePrice)[0]
+
+#Call to the function
+spearman_correlation()
+
 
diff --git a/q04_spearman_correlation/tests/__pycache__/__init__.cpython-36.pyc b/q04_spearman_correlation/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q04_spearman_correlation/tests/__pycache__/test_q04_spearman_correlation.cpython-36.pyc b/q04_spearman_correlation/tests/__pycache__/test_q04_spearman_correlation.cpython-36.pyc