

In this article, we take a look at some of the issues you are likely to encounter when cleaning up source data that contains ASCII special characters and we also look at the user-defined function that could be applied to successfully remove such characters. One aspect of transforming source data that could get complicated relates to the removal of ASCII special characters such as new line characters and the horizontal tab. This could involve looking up foreign keys, converting values from one data type into another, or simply conducting data clean-ups by removing trailing and leading spaces. So I’ve decided to fix that.One of the important steps in an ETL process involves the transformation of source data. I realized that might be because there was no invitation to comment. Count characters, words, sentences, and linesĪs I was reviewing my analytics, I noticed this article has become quite popular, but strangely has far fewer comments than our other popular articles.has a variety of bulk text editing tools. Pretty useful! Miscellaneous Text Editing Tools with Text Mechanic It will even do programming specific conversions like camelCase, PascalCase, hyphen-case, or snake_case. will convert your text to Title Case, UPPERCASE, lowercase, or Sentence case. I frequently get text from clients in ALL CAPS, and I often want to change it to Title Case or sentence case without having to retype it. quickly identified the changes I’d made between documents. I found a useful website called that let me copy and paste the code for the two sites and highlighted the differences for me. I had a WordPress theme that I knew I’d made some changes to, but I couldn’t remember exactly what they were. The other day, I wanted to check for differences between 2 websites. I’ll talk about each… Check for differences between 2 sets of text If you’re looking for some simple online tools, you might try, , and. Sometimes expressions can be a little hard to figure out.

‘^’ would replace any ‘’ at the beginning of a line.)Īlternative Online Tools That Make Text Conversion Easier

Only applies to characters at the beginning of a line (ex. ‘!$’ would replace all exclamation points at the end of a line.) Only applies to characters at the end of a line. This only matches space, tab and line feed. Same as ].Ī spacing character: space, EOLs and tabs count. This appears not to depend on what the Scintilla component considers as word characters. NOTE: this will fall back on “a word character” if the “Match case” search option is off.Ī word character, which is a letter, digit or underscore. Anything that’s not a number (including spaces). Here’s a list of useful expressions you may want to use in your find and replace escapades…
