# Data Preparation (Exercise) — Data

来源：https://www.kaggle.com/competitions/data-preparation-exercise/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

<p>In this exercise you will practice applying what you learned in the previous lessons in the context of a use case working with customer data. Before you begin working on this lesson, read the following background information about the Customers dataset and use case. <p>Background
You work for a technical services company that sells three monthly subscription products: 
•	Silver (price:  $9.99/month)
•	Gold (price: $14.99/month)
•	Platinum (price: $29.99/month)
 The company occasionally offers promotional discounts – therefore, some product prices may be slightly lower than those listed above. Your overall goal is to provide an analysis of sales activity by zip code. 
 
In order to do this, you’ll need to join your Lab_customers dataset (where zip code information resides) with sales data from your transactions datasets (for the datasets, see the instruction section below). Once you’ve joined the data, you’ll need to aggregate the results.
</p>
<h2>File descriptions</h2>
<ul>
<li><strong>lab_customers.csv</strong>
<li><strong>lab_2010_transactions.csv</strong>
<li><strong>sampleSubmission.csv</strong> - a sample submission file in the correct format</li>
<li><strong>metaData.csv</strong> - supplemental information about the data</li>
<li>etc...</li>
</ul>
<h2>Data fields</h2>
<ul>
<li><strong>customer_id</strong> - an anonymous id unique to a given customer</li>
<li><strong>movie_id</strong> - the id of a movie</li>
<li><strong>movie_title</strong> - the title of a movie</li>
<li>etc...</li>
</ul>