Ever thought about using LabVIEW to decode the Wordle mystery? Well, why not? LabVIEW excels at swiftly prototyping intricate systems, making it an ideal tool for such tasks.
Curious about the optimal starting word for Wordle? Amidst the myriad of suggestions, I’ve got an intriguing one for you, sourced from Harry Potter and the Philosopher’s Stone: BONES! Let me guide you through the LabVIEW analysis that led me to this discovery. 🧠
Admittedly, I might be fashionably late to the Wordle party, but my recent Wordle adventures sparked a question: What is the ultimate starting word? To find out, I leveraged LabVIEW and employed machine learning language modeling using the entire text from the first Harry Potter book.
Here’s a glimpse into the process:
1. The program ingests raw text (I used Harry Potter, but you can choose your source).
2. The text is split into words, trimming off punctuation and retaining only 5-letter words.
3. Duplicate words are removed to ensure fair letter frequency analysis.
4. The result? A curated list of around 1150 unique five-letter words.
Enter the LabVIEW magic:
◦ The program meticulously analyzes the frequency of each letter in specific positions within each word, creating a revealing image.
◦ Scores are assigned to words based on their letter frequencies in those positions.
◦ Words are sorted from highest to lowest scores.
◦ While the technically highest-scoring word is “shoes,” a deeper dive into the results unveils that the letter ‘B’ holds immense potential because the s doesn’t help as much in shoes because it is duplicated. Thus, the second-highest scoring word takes the lead: BONES. 🦴
LabVIEW, often synonymous with automation and control systems, surprises in its versatility. Beyond its conventional domains, LabVIEW proves invaluable for data analysis and visualization. If you’re intrigued by the possibilities LabVIEW holds for you, let’s connect on LinkedIn! 🤝 #LabVIEW #WordleAnalysis #DataInsights #TechInnovation
