Snobol4 语言 实战 开发数据清洗脚本实战

Snobol4 语言实战：开发数据清洗脚本实战

数据清洗是数据科学和数据分析领域的重要环节，它涉及到从原始数据中提取有用信息、处理缺失值、异常值以及格式化数据等操作。虽然现代编程语言如Python、R等在数据清洗方面有着丰富的库和工具，但了解并使用历史编程语言如Snobol4进行数据清洗也是一种有趣的挑战。本文将围绕Snobol4语言，实战开发一个数据清洗脚本，以展示其简洁性和高效性。

Snobol4 简介

Snobol4（StriNg Oriented and symBOlic Language）是一种高级编程语言，由David J. Farber和Ralph E. Griswold于1962年设计。它最初用于文本处理，特别适合于字符串操作。Snobol4语言的特点是简洁、易于学习和使用，但它的功能相对有限，主要适用于文本处理和简单的数据处理任务。

数据清洗脚本设计

1. 数据源

假设我们有一个包含以下列的CSV文件：`id`, `name`, `age`, `email`。其中，`id`是唯一标识符，`name`是姓名，`age`是年龄，`email`是电子邮件地址。我们的目标是清洗这个数据集，确保所有数据符合以下要求：

- `id`列必须是整数。
- `name`列必须是字符串，且长度在2到50之间。
- `age`列必须是整数，且在18到100之间。
- `email`列必须是有效的电子邮件地址。

2. Snobol4 脚本编写

以下是一个简单的Snobol4脚本，用于清洗上述数据集：

```snobol
:readfile
'data.csv' open readfile
'cleaned_data.csv' open writefile
'id' 'name' 'age' 'email' writefile
'id' 'name' 'age' 'email' writefile
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