Data Study
メニューを表示するにはスワイプしてください
In this section, we are going to practice using knowledge from previous sections.
We will find some essential product metrics that are used in Data Analysis:
- CAC
- The percentage of customers whose acquisition is more expensive than the money spent
- The percentage of the organic traffic
- How much money do we earn daily
- ROI
Before starting this section, study the data we will work with.
| Column name | Data type | Description |
|---|---|---|
customer_id | int | User unique number |
cost | float | How much money do we spend for the user |
money_spent | float | How much money does the user spend |
day | str | The weekday the payment was made |
holiday | bool | If the day of the payment was the holiday or not |
すべて明確でしたか?
フィードバックありがとうございます!
セクション 4. 章 1
AIに質問する
AIに質問する
何でも質問するか、提案された質問の1つを試してチャットを始めてください
Data Study
In this section, we are going to practice using knowledge from previous sections.
We will find some essential product metrics that are used in Data Analysis:
- CAC
- The percentage of customers whose acquisition is more expensive than the money spent
- The percentage of the organic traffic
- How much money do we earn daily
- ROI
Before starting this section, study the data we will work with.
| Column name | Data type | Description |
|---|---|---|
customer_id | int | User unique number |
cost | float | How much money do we spend for the user |
money_spent | float | How much money does the user spend |
day | str | The weekday the payment was made |
holiday | bool | If the day of the payment was the holiday or not |
すべて明確でしたか?
フィードバックありがとうございます!
セクション 4. 章 1