Visualize ROI
In the previous chapter, we calculated ROI daily, which will help us recognize the unprofitable day. Indeed, if we know that Monday is unprofitable, we should spend less money to attract users, for example!
It is tough to conclude without graphs, so visualize ROI!
Завдання
Swipe to start coding
- Create
barplotwith the arguments:
dfas thedataparameter.'day'column for x-axis.'ROI'column for y-axis.
- Output
barplot
Рішення
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import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# You've already calculated ROI by week days
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/783d7288-e86b-4b89-9966-a2fe97995277/section_3_dataset_upd.csv')
df = df[['day', 'cost', 'money_spent']].groupby('day').sum().reset_index()
df['ROI'] = ((df['money_spent'] - df['cost'])/ df['cost'])*100
# Create barplot
sns.barplot(data = df, x = 'day', y = 'ROI')
# Output barplot
plt.show()
Congratulations! We figured out that Monday and Thursday are the most unprofitable days. Further, it is fantastic to find out whether these two days are similar or if we are making the same mistake on Monday and Thursday. But to do it, you should continue learning courses that will help you to become a Data Analyst.
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Дякуємо за ваш відгук!
Секція 4. Розділ 11
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import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# You've already calculated ROI by week days
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/783d7288-e86b-4b89-9966-a2fe97995277/section_3_dataset_upd.csv')
df = df[['day', 'cost', 'money_spent']].groupby('day').sum().reset_index()
df['ROI'] = ((df['money_spent'] - df['cost'])/ df['cost'])*100
# Create barplot
___.___(data = ___, x = ___, y = ___)
# Output barplot
___
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