Data collected via Mood2Know, a simple tool where users anonymously report their mood on a scale from 1 to 10.

    This analysis includes 5,000+ entries collected over February–March 2026.

    Each data point corresponds to a single self-reported mood value. Results are aggregated by day of the week.

    Limitations:

    – Self-reported data (subjective bias)

    – Non-representative sample

    – Uneven distribution across regions and users

    Happy to answer questions or share more details.

    by gloussou

    5 Comments

    1. Source:

      Data collected via Mood2Know, a tool where users anonymously report their mood on a scale from 1 to 10. This dataset includes 5,000+ entries collected over February–March 2026.

      Tool:

      Visualization created using Python (matplotlib) and design refined manually.

      Method:

      Each entry corresponds to a self-reported mood value. Data was aggregated by day of the week and averaged.

      Limitations:

      – Self-reported data (subjective bias)

      – Non-representative sample

      – Uneven distribution across users and regions

      Happy to answer questions or share more details.

    2. Interesting, by mid Sunday my mood has dropped as I know the full work week is coming back around. I feel better on a Thursday afternoon than I do a Sunday afternoon

    3. Colonel_Gipper on

      I find it hard to believe that Monday is the second happiest day of the week.

    4. themodgepodge on

      What is your color/icon scale? Monday and Thursday are both 6.18, but their colors/icons are different. (And/or why do some days have an icon and others don’t?)

      Thursday is 6.00, but it looks to be closer to 5.9 on the chart (i.e. it’s well below the 6.00 line). Monday and Thursday are both 6.18, but they’re not at the same height along the Y axis.

      PS – make your X axis label text smaller, or rotate the labels a bit. Thursday is missing, and Wednesday’s axis tick mark is ambiguous.

    5. Dev-N-Danger on

      I have a couple questions. Did you build the site yourself? How did you promote it? Is the data open source?

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