hackPR

README.md

@@ -8,7 +8,6 @@ research team.
 Major libraries used are :
 OS - The OS module in python provides functions for interacting with the operating system. OS, comes under Python’s standard utility modules. This module provides a portable way of using operating system dependent functionality. The *os* and *os.path* modules include many functions to interact with the file system.
 
-PADAS - Pandas is the most popular python library that is used for data analysis. It provides highly optimized performance 
-with back-end source code is purely written in C or Python. 
+PANDAS - Pandas is the most popular python library that is used for data analysis. It provides highly optimized performance with back-end source code is purely written in C or Python. 
 
 MATPLOTLIB - Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack.

days.py

@@ -1,3 +1,5 @@
+#days plot
+
 import pandas as pd
 import matplotlib.pyplot as plt
 #import numpy as np
@@ -112,4 +114,4 @@ def isnumberr(numb):
 # naming the y axis 
 plt.ylabel(query[str(option)]) 
 plt.show()	
-
+	

months.py

@@ -1,3 +1,5 @@
+
+#months plot
 import pandas as pd 
 import matplotlib.pyplot as plt
 import joblib
@@ -133,4 +135,4 @@ def isnumberr(numb):
 plt.xlabel('Month') 
 # naming the y axis 
 plt.ylabel(query[str(option)]) 
-plt.show()
+plt.show()

years.py

@@ -1,3 +1,5 @@
+#years plot
+
 import pandas as pd 
 import matplotlib.pyplot as plt
 import joblib
@@ -167,4 +169,4 @@ def isnumberr(numb):
 # naming the y axis 
 plt.ylabel(query[str(option)]) 
 
-plt.show()
+plt.show()