Questions worth investigating
Earlier Nakkeb studies show how data collection and structured analysis can support a focused research question. These examples are historical, not live datasets.
01 Archived research
In an archived internal exploration, Nakkeb used NakkebWeb to collect film page fields from IMDb, then queried the extracted records for films rated above 7 with a Metascore above 80. The page described an Excel export and rating distributions; it did not publish a dated, independently validated outcome.
Explore IMDb film discovery02 Archived research
An archived Nakkeb study collected Google Play listing fields, including price and download bands, to explore app market economics. Download bands are estimates of installs, not revenue data; the archive’s market-size and income assertions should be read as historical assumptions, not current facts.
Explore Google Play app economics03 Archived research
The archived iTunes page posed a narrow research question: how apps were distributed across price points and categories. It gives no dated sample size, chart values, or detailed method, so this case preserves the question and explains the data work it illustrates without inventing findings.
Explore iTunes App Store distribution04 Archived research
In an archived internal study, Nakkeb collected Crunchbase records to examine associations between funding and fields such as industry, keywords, amount, and date. The page describes a correlation study, not a causal finding or a prediction model.
Explore Crunchbase funding patterns05 Archived research
An archived Nakkeb exploration used Last.fm pages to collect artist and song information and examine possible links among genre, lyrics, and popularity. The page states the research aim and extraction method but provides no validated sales or income results.
Explore Last.fm music patternsYour next useful answer
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