Correlations
Word count vs lexicon hits, weekday vs Flesch, month vs word count. Axes use mixed units; read each label.
Word length vs raw hit count (r = 0.7)
Same scatter as Affect lexicon. Each point is one post. Raw r = 0.7; r after dividing by length = -0.28.
Word Count vs Emotional Intensity
Calculating data...
Complexity vs Day of Week
Flesch score of each post, plotted by weekday of pubDate. Higher Flesch = shorter words and sentences on the formula.
Complexity Score by Day of Week
Calculating data...
Weekday aggregates
Productivity = mean word count × number of posts published that weekday.
Day of Week Patterns
Calculating data...
Monthly aggregates
Creativity = mean word count × mean Flesch for posts in that calendar month.
Seasonal Patterns
Calculating data...
Four groups by publish order
Posts numbered 0, 1, 2, 3, 0, 1… in publish order. The four labels are those remainder groups (postIndex % 4).
Creative Cycle Phases
Calculating data...
Highest composites
The weekday with the highest productivity score, the month with the highest creativity score, and the remainder-group with the highest mean word count.
| Peak weekday composite | 31788 | Wednesday |
| Peak month composite | 129626 | October |
| Peak cycle avg words | 2238 | Rest |
Notes from the bins
Sentences generated from the weekday, month, and remainder-group tables. Confidence is a label on this page, not a p-value.
Day of Week Metrics
Letters compare a weekday mean to the single longest or most intense post, so most days score D or F. An A is 93% or more of this archive’s maximum. Hover a letter for the numbers.
Seasonal Metrics
Same letter scale as the weekday table, for calendar months.
Remainder groups, scored
Same letter scale for the index % 4 groups.
Tag pairs on the same post
Posts that have both tags, and the mean word count of those posts.
Posts with Highest Word Count
Posts sorted by word count. The pattern label uses cutoffs: 1,000 words, affect hits > 5, Flesch > 50.
Summary
Analysis identifies 1 significant challenges, 2 areas of concern. 4 objective metrics provide baseline data.