From d1001d2ea48a07fd89229bc95f869ed29f0416d2 Mon Sep 17 00:00:00 2001
From: nitikagoel01 <nitikagoel.1693@gmail.com>
Date: Tue, 4 Jul 2017 18:59:26 +0000
Subject: [PATCH] Done

---
 build.py                                 |  21 ++++++++++++++-------
 build.pyc                                | Bin 0 -> 2055 bytes
 tests/__init__.pyc                       | Bin 0 -> 170 bytes
 tests/test_get_categorical_variables.pyc | Bin 0 -> 2751 bytes
 4 files changed, 14 insertions(+), 7 deletions(-)
 create mode 100644 build.pyc
 create mode 100644 tests/__init__.pyc
 create mode 100644 tests/test_get_categorical_variables.pyc

diff --git a/build.py b/build.py
index 35cdd2a..dcda46c 100644
--- a/build.py
+++ b/build.py
@@ -1,25 +1,32 @@
+import pandas as pd
+
 def get_categorical_variables(df):
-    return []
+    categorical_data = list(df[['country', 'new_user', 'source', 'converted']])
+    return categorical_data
 
 
 def get_numerical_variables(df):
-    return []
+    numerical_data = list(df[['age', 'total_pages_visited']])
+    return numerical_data
 
 
 def get_numerical_variables_percentile(df):
-    pass
+    return df.describe()
 
 
 def get_categorical_variables_modes(df):
-    pass
-
+    return df[get_categorical_variables(df)].mode()
 
 def get_missing_values_count(df):
-    pass
+    return pd.DataFrame(df.isnull().sum())
 
 
 def plot_histogram_with_numerical_values(df):
-    pass
+    plt.hist(df['age'], color='r', bins=50)
+    plt.hist(df['total_pages_visited'], color='b', bins=50)
+    plt.xlabel('age')
+    plt.ylabel('total_pages_visited')
+    plt.show()
 
 
 def plot_facet_box(df):
diff --git a/build.pyc b/build.pyc
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