Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly
Sign up
Appearance settings

Commit 2a0cef6

Browse files
πŸ“‚
1 parent 2c228f2 commit 2a0cef6

18 files changed

+6273
-0
lines changed
File renamed without changes.
File renamed without changes.
Lines changed: 204 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,204 @@
1+
{
2+
"cells": [
3+
{
4+
"cell_type": "markdown",
5+
"metadata": {},
6+
"source": [
7+
"## Practice Exercise 1"
8+
]
9+
},
10+
{
11+
"cell_type": "markdown",
12+
"metadata": {},
13+
"source": [
14+
"You are provided with 2 lists that contain the data of an ecommerce website. The first list contains the data for the number of items sold for a particular product and the second list contains the price of the product sold. As a part of this exercise, solve the questions that are provided below."
15+
]
16+
},
17+
{
18+
"cell_type": "code",
19+
"execution_count": null,
20+
"metadata": {},
21+
"outputs": [],
22+
"source": [
23+
"number = [8, 9, 9, 1, 6, 9, 5, 7, 3, 9, 7, 3, 4, 8, 3, 5, 8, 4, 8, 7, 5, 7, 3, 6, 1, 2, 7, 4, 7, 7, 8, 4, 3, 4, 2, 2, 2, 7, 3, 5, 6, 1, 1, 3, 2, 1, 1, 7, 7, 1, 4, 4, 5, 6, 1, 2, 7, 4, 5, 8, 1, 4, 8, 6, 2, 4, 3, 7, 3, 6, 2, 3, 3, 3, 2, 4, 6, 8, 9, 3, 9, 3, 1, 8, 6, 6, 3, 3, 9, 4, 6, 4, 9, 6, 7, 1, 2, 8, 7, 8, 1, 4]\n",
24+
"price = [195, 225, 150, 150, 90, 60, 75, 255, 270, 225, 135, 195, 30, 15, 210, 105, 15, 30, 180, 60, 165, 60, 45, 225, 180, 90, 30, 210, 150, 15, 270, 60, 210, 180, 60, 225, 150, 150, 120, 195, 75, 240, 60, 45, 30, 180, 240, 285, 135, 165, 180, 240, 60, 105, 165, 240, 120, 45, 120, 165, 285, 225, 90, 105, 225, 45, 45, 45, 75, 180, 90, 240, 30, 30, 60, 135, 180, 15, 255, 180, 270, 135, 105, 135, 210, 180, 135, 195, 225, 75, 225, 15, 240, 60, 15, 180, 255, 90, 15, 150, 230, 150]"
25+
]
26+
},
27+
{
28+
"cell_type": "markdown",
29+
"metadata": {},
30+
"source": [
31+
"#### How many different products are sold by the company in total?\n",
32+
"\n",
33+
"- 99\n",
34+
"- 100\n",
35+
"- 101\n",
36+
"- 102\n"
37+
]
38+
},
39+
{
40+
"cell_type": "code",
41+
"execution_count": null,
42+
"metadata": {},
43+
"outputs": [],
44+
"source": [
45+
"# Type your code here"
46+
]
47+
},
48+
{
49+
"cell_type": "markdown",
50+
"metadata": {},
51+
"source": [
52+
"#### How many items were sold in total?\n",
53+
"\n",
54+
"- 460\n",
55+
"- 490\n",
56+
"- 500\n",
57+
"- 520\n"
58+
]
59+
},
60+
{
61+
"cell_type": "code",
62+
"execution_count": null,
63+
"metadata": {},
64+
"outputs": [],
65+
"source": [
66+
"# Type your code here"
67+
]
68+
},
69+
{
70+
"cell_type": "markdown",
71+
"metadata": {},
72+
"source": [
73+
"#### What is the average price of the products sold by the ecommerce company?\n",
74+
"\n",
75+
"- 139\n",
76+
"- 151\n",
77+
"- 142\n",
78+
"- 128"
79+
]
80+
},
81+
{
82+
"cell_type": "code",
83+
"execution_count": null,
84+
"metadata": {},
85+
"outputs": [],
86+
"source": [
87+
"# Type your code here"
88+
]
89+
},
90+
{
91+
"cell_type": "markdown",
92+
"metadata": {},
93+
"source": [
94+
"#### What is the price of the costliest item sold?\n",
95+
"\n",
96+
"- 225\n",
97+
"- 310\n",
98+
"- 280\n",
99+
"- 285"
100+
]
101+
},
102+
{
103+
"cell_type": "code",
104+
"execution_count": null,
105+
"metadata": {},
106+
"outputs": [],
107+
"source": [
108+
"# Type your code here"
109+
]
110+
},
111+
{
112+
"cell_type": "markdown",
113+
"metadata": {},
114+
"source": [
115+
"#### What is the total revenue of the company? [Revenue = Price\\*Quantity]\n",
116+
"\n",
117+
"- 67100\n",
118+
"- 53900\n",
119+
"- 45300\n",
120+
"- 71200"
121+
]
122+
},
123+
{
124+
"cell_type": "code",
125+
"execution_count": null,
126+
"metadata": {},
127+
"outputs": [],
128+
"source": [
129+
"# Type your code here"
130+
]
131+
},
132+
{
133+
"cell_type": "markdown",
134+
"metadata": {
135+
"collapsed": true
136+
},
137+
"source": [
138+
"#### Demand for the 20th product in the list is more than the 50th product. [True/False]\n",
139+
"- True\n",
140+
"- False\n",
141+
"- Can't be calculated"
142+
]
143+
},
144+
{
145+
"cell_type": "code",
146+
"execution_count": null,
147+
"metadata": {},
148+
"outputs": [],
149+
"source": [
150+
"# Type your code here"
151+
]
152+
},
153+
{
154+
"cell_type": "markdown",
155+
"metadata": {},
156+
"source": [
157+
"#### How many products fall under the category of expensive goods? \n",
158+
"An expensive good is that good whose price is more than the average price of the products sold by the company.\n",
159+
"\n",
160+
"- 48\n",
161+
"- 50\n",
162+
"- 52\n",
163+
"- 54"
164+
]
165+
},
166+
{
167+
"cell_type": "code",
168+
"execution_count": null,
169+
"metadata": {},
170+
"outputs": [],
171+
"source": [
172+
"# Type your code here"
173+
]
174+
},
175+
{
176+
"cell_type": "code",
177+
"execution_count": null,
178+
"metadata": {},
179+
"outputs": [],
180+
"source": []
181+
}
182+
],
183+
"metadata": {
184+
"kernelspec": {
185+
"display_name": "Python 3",
186+
"language": "python",
187+
"name": "python3"
188+
},
189+
"language_info": {
190+
"codemirror_mode": {
191+
"name": "ipython",
192+
"version": 3
193+
},
194+
"file_extension": ".py",
195+
"mimetype": "text/x-python",
196+
"name": "python",
197+
"nbconvert_exporter": "python",
198+
"pygments_lexer": "ipython3",
199+
"version": "3.7.0"
200+
}
201+
},
202+
"nbformat": 4,
203+
"nbformat_minor": 2
204+
}

0 commit comments

Comments
(0)

AltStyle γ«γ‚ˆγ£γ¦ε€‰ζ›γ•γ‚ŒγŸγƒšγƒΌγ‚Έ (->γ‚ͺγƒͺγ‚ΈγƒŠγƒ«) /