怎么查找数据集

This is the fifth post in a series of posts on how to build a Data Science Portfolio. If you like this and want to know when the next post in the series is released, you can .

这是有关如何构建数据科学产品组合的系列文章中的第五篇。 如果您喜欢这种方式，并且想知道该系列的下一篇文章何时发布，可以 。

If you’ve ever worked on a personal data science project, you’ve probably spent a lot of time browsing the internet looking for interesting datasets to analyze. It can be fun to sift through dozens of datasets to find the perfect one, but it can also be frustrating to download and import several csv files, only to realize that the data isn’t that interesting after all. Luckily, there are online repositories that curate datasets and (mostly) remove the uninteresting ones.

如果您曾经从事过个人数据科学项目，则可能已经花费了很多时间浏览互联网以寻找有趣的数据集进行分析。 筛选数十个数据集以找到理想的数据集可能很有​​趣，但是下载并导入多个csv文件也可能令人沮丧，只是意识到数据毕竟不是那么有趣。 幸运的是，有一些在线存储库可以管理数据集，并且（大部分）可以删除不感兴趣的数据集。

In this post, we’ll walk through several types of data science projects, including data visualization projects, data cleaning projects, and machine learning projects, and identify good places to find datasets for each. Whether you want to strengthen your by showing that you can visualize data well, or you have a spare few hours and want to practice your machine learning skills, we’ve got you covered.

在本文中，我们将逐步介绍几种类型的数据科学项目，包括数据可视化项目，数据清理项目和机器学习项目，并确定查找每个数据集的好地方。 无论您是想通过证明自己可以很好地可视化数据来增强 ，还是有空闲时间来练习机器学习技能，我们都能满足您的要求。

数据可视化项目的数据集 (Datasets for Data Visualization Projects)

翻译自:

怎么查找数据集