The document provides a comprehensive overview of regular expressions (regex) including tools for implementation, common character classes, quantifiers, anchors, and group captures. It also outlines steps for transforming multiline data into a structured format suitable for Excel, while detailing specific regex patterns for date formatting and cleansing. The emphasis is on practical applications of regex for processing and reformulating input data.

1. Regex in +60’
By: Ghulam Imaduddin
ghulam@ideweb.co.id

2. Before We Start
• Tools:
 Notepad++ (Windows) - https://notepad-plus-plus.org/
 Sublime (Mac) - https://www.sublimetext.com/
 Online tools - https://regex101.com/
• Sample dataset

3. Common Type
• Character class: [abc]
• Character: . s w d
• Quantifiers: ? + * {1}
• Anchors: ^ $
• Group/Capture: (…) (a|b)

4. Character class
• [abc]: single character of: a, b, or c
• [^abc]: character except: a, b, or c
• [a-z]: character in the range of a-z
• [a-zA-Z0-9]: character in the range of a-z or A-Z or 0-9

5. Character
• . : any single character
• s: any whitespace (space, tab); S: any non-whitespace
• d: any digit (equal to [0-9])
• w: any word (equal to [a-zA-Z0-9]
• t: tab character
• r: carriage return
• n: new line

6. Quantifiers
• a?: Zero or one of a
• a*: zero or more of a
• a+: one or more of a
• a{3}: exactly 3 of a
• a{3,}: 3 or more of a
• a{3,6}: between 3 and 6 of a

7. Anchors
• ^: Start of string
• $: end of string
• b: any word boundary
• B: any non-word boundary

8. Group Capture
• (…): capture everything enclosed
• (a|b): match either a or b

9. Hands-on

10. One line to multiline
Input:
Expected Output:
Steps:
1. Change “, ” to “enter”
2. Parse name and email
3. Copy to excel
1
2

11. Cleansing & Reformat
Input:
1. Step 1
• find: ^(d{1,2})-(d{1,2})-(d{4})$
• Replace with: 3-2-1
2. Step 2:
• find: -(d{1})$
• Replace with: -01
3. Step 3: remove non-date line ;)
Output: How:

12. Q & A