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VIDEO GAMES STEAM SPY: The Artometrics of Video Games Steam Spy

This report analyzes the TidyTuesday 2019-07-30 release on Video Games Steam Spy — 26,688 rows after cleaning and merge.

Artometrics Editorial5 min read
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VIDEO GAMES STEAM SPY: The Artometrics of Video Games Steam Spy
This report analyzes the TidyTuesday 2019-07-30 release on Video Games Steam Spy — 26,688 rows after cleaning and merge.

This report analyzes the TidyTuesday 2019-07-30 release on Video Games Steam Spy26,688 rows after cleaning and merge. Which Steam titles earned the most playtime per dollar?

Five charts track Metascore across time, category, and named entities — trend, leaders, distribution, tiers, and relationships. Where companion files exist in the repo, they are joined before analysis so reception, geography, or metadata columns are not left on the table.

FAST FACTS

26,688Records in the working dataset
73.0Median Metascore
98.0Highest observed Metascore
DEEP SPACE WAIFU: NEKOMIMITop Game by Metascore
2004–2018Year span covered in the file
0 .. 20,000Most common Owners

DATASET CONTEXT

The source is the TidyTuesday release from 2019-07-30 (R for Data Science community). This working file contains 26,688 rows and 11 columns after merging all available CSV/XLSX tables in the week folder.

Charts are exported as Plotly JSON with PNG fallbacks. Medians are used for robustness where distributions skew. Index-style fields (row numbers, sequential IDs) are excluded from metric selection.

How to read this report: start with the chart caption, then ask what the metric actually means, what a non-expert should notice first, and what an expert would challenge in the source. The goal is not to memorize every number; it is to leave with a sharper question than the one you arrived with.

Reader path: if you are new to the topic, treat each chart as a guided tour of one question: who leads, how concentrated the field is, what changes over time, and where the outliers sit. If you already know the domain, use the same charts as a challenge: check whether the metric is the right proxy, whether the source omits an important population, and whether the headline survives the limitations section.

CHART 1 — TREND

Median Metascore Over Time

Median metascore is rising from 70.0 in the opening period to 73.0 at the close.

Annual medians filter one-off spikes so the structural slope — not viral outliers — drives the story.

CHART 2 — LEADERS

Little Triangle leads at 98.0 — 95.5 marks the median among the top dozen

Little Triangle leads at 98.095.5 marks the median among the top dozen.

Head-of-field concentration is where quality, scale, or brand visibly separates from the pack.

CHART 3 — DISTRIBUTION

Metascore by Owners

Category boxes reveal whether metascore consensus is shared or contested across tiers.

Wide whiskers flag segments where outliers — not averages — drive reputation.

CHART 4 — GAP ANALYSIS

Metascore vs median by Owners

2,000,000 .. 5,000,000 sits 10.0 above the median; 0 .. 20,000 trails by 5.00.

Diverging from the median exposes which tiers over- or under-perform — not just who ranks first.

SUPPLEMENT — RELATIONSHIP

Metascore vs Price

Joint plot of metascore and price surfaces clusters the averages erase.

Bubble size tracks repeat presence — outliers are archetypes, not noise.

LIMITATIONS

Community-cleaned TidyTuesday snapshots are not live APIs. Missing values, spelling variants, and week-of-export coverage limits apply. Merged tables may fan out or duplicate rows when join keys are imperfect.

Findings describe the file on hand — treat them as structural signals about Video Games Steam Spy, not exhaustive truth about the full domain.

CONCLUSION

Read as a teaching map, Video Games Steam Spy shows why one metric is rarely enough: leaders, tails, trends, and relationships each answer a different question about metascore.

The best reading is modest: use the chart to sharpen the question, then check the source and limits before turning it into a claim.

REFERENCES

Data Science Learning Community. (2019). TidyTuesday: Video Games Steam Spy. https://raw.githubusercontent.com/rfordatascience/tidytuesday/main/data/2019/2019-07-30/video_games.csv

EDITOR'S NOTE

Artometrics data report from the TidyTuesday research pipeline. Charts and aggregates are reproducible from the embedded exhibits and public source files.

View TidyTuesday source on GitHub