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BILLBOARD TOP 100: The Artometrics of Billboard Top 100

This report analyzes the TidyTuesday 2021-09-14 release on Billboard Top 100 — 100,000 rows after cleaning and merge.

Artometrics Editorial5 min read
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BILLBOARD TOP 100: The Artometrics of Billboard Top 100
This report analyzes the TidyTuesday 2021-09-14 release on Billboard Top 100 — 100,000 rows after cleaning and merge.

This report analyzes the TidyTuesday 2021-09-14 release on Billboard Top 100100,000 rows after cleaning and merge. How did chart positions compress at the top of the Hot 100?

Five charts track Week position 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

100,000Records in the working dataset
50.0Median Week position
100Highest observed Week position
Down By The RiverTop Song by Week position

DATASET CONTEXT

The source is the TidyTuesday release from 2021-09-14 (R for Data Science community). This working file contains 100,000 rows and 10 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 — BREAKDOWN

Week position by Song

(Quarter To Four) Stomp leads at 100; Girl (You Captivate Me) anchors the low end at 100.

Grouping by song exposes how the metric varies across the catalog's major entities.

CHART 2 — LEADERS

(Quarter To Four) Stomp leads at 100 — 100 marks the median among the top dozen

(Quarter To Four) Stomp leads at 100100 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

Week position Distribution

Median 50.0 vs mean 50.4 — the shape is relatively symmetric.

The top decile begins at 91.0; that tail is where defining cases live.

CHART 4 — CONCENTRATION

Cumulative Week position

The top 5 song entries account for 33% of the aggregate week position.

Steep Pareto curves mean a small head drives most of the signal — the long tail is noise until it isn't.

SUPPLEMENT — RELATIONSHIP

Week position vs Instance

Joint plot of week position and instance 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 Billboard Top 100, not exhaustive truth about the full domain.

CONCLUSION

Read as a teaching map, Billboard Top 100 shows why one metric is rarely enough: leaders, tails, trends, and relationships each answer a different question about week position.

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. (2021). TidyTuesday: Billboard Top 100. https://raw.githubusercontent.com/rfordatascience/tidytuesday/main/data/2021/2021-09-14/billboard.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