steam-hidden-gems

SQL analysis of the Steam catalog to surface hidden gems: highly-rated, low-ownership, affordable games. Includes data-cleaning, noise-filtering, and validation write-up. (by michaelnocito)
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steam-hidden-gems reviews and mentions

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  • SQL JOINs: How to Join Two Tables Without Losing or Doubling Rows
    1 project | dev.to | 11 Aug 2026
    The worked example is real. Every number on this page comes from a published portfolio project: a list of 175 games joined to a table of 41,154,794 player reviews. The queries run against the full datasets at Steam Hidden Gems on GitHub. If joins are the only thing here that is new, and clauses like GROUP BY and HAVING are too, start with SQL foundations and come back.
  • Operationalization: Turning Fuzzy Questions Into Measurable Definitions
    3 projects | dev.to | 9 Aug 2026
    That is the data-driven thresholds method setting the parameters inside each definition, while operationalization decides what needs a parameter at all. The same chains run through the Steam and Streaming Hidden Gems projects, where "hidden" and "loved" each get an explicit, defended definition before any query runs. The Telco Churn project does the same on the business side. "Sticky customer" becomes a count of add-on subscriptions across six service columns. "At risk" becomes a tenure band. Both are stated in the README, so a reader can argue with the definition instead of guessing at it.
  • Your Data Is Never Fully Clean, and Analysts Ship Anyway
    3 projects | dev.to | 9 Aug 2026
    You can read real ones in the wild. The Steam Hidden Gems and Streaming Hidden Gems projects each carry a "Scope & Assumptions" section. They state which records were excluded and why, what the source data cannot see, and which cleaning decisions carry known costs.
  • Why Exploratory Data Analysis Matters
    3 projects | dev.to | 9 Aug 2026
    When a check like that passes, the import earns some trust. When it fails, you found a problem at the cheapest possible moment. The Steam Hidden Gems and Streaming Hidden Gems projects both carry a "Validation" section showing these cross-checks, with totals reconciled two independent ways before any conclusion rested on them.
  • Data-Driven Thresholds: Picking Cutoffs You Can Defend
    2 projects | dev.to | 8 Aug 2026
    The same pattern runs through the Steam Hidden Gems and Streaming Hidden Gems projects. Each derives its "enough reviews / enough votes" floor from the measured distribution. The rejected alternatives are documented in the README.
  • A note from our sponsor - AppSignal
    www.appsignal.com | 11 Sep 2026
    Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise. Learn more →

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The primary programming language of steam-hidden-gems is HTML.


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