google-play
playwright_with_chunk_google_map_huggingface_379_d4a19c_catalog
Derived: Product Catalog Insights
Aggregated product catalog statistics enriched with ticket-derived signals.
Attribution & Redistribution
This dataset is derived from the following upstream source(s):
Upstream Source
Repository
License
github_fetch_huggingface_terminal_9046_nxauzm_upstream_support_tickets
TianfuXinqu/github_fetch_huggingface_terminal_9046_nxauzm_upstream_support_tickets
apache-2.0
Redistribution is permitted under the apache-2.0… See the full description on the dataset page: https://huggingface.co/datasets/TianfuXinqu/playwright_with_chunk_google_map_huggingface_379_d4a19c_catalog.messengers-reviews-google-play
Reviews on Messengers Dataset - Review dataset
The Reviews on Messengers Dataset is a comprehensive collection of 200 the most recent customer reviews on 6 messengers obtained from the popular app store, Google Play. See the list of the apps below.
This dataset encompasses reviews written in 5 different languages: English, French, German, Italian, Japanese.
💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/messengers-reviews-google-play.GooglePlayStoreApps
📱 Google Play Store 2020 — What Made an App Go Viral?
A data-driven EDA of 9,436 apps released in 2020, exploring the patterns behind viral success on the Play Store.
🎬 Video Walkthrough
Can't see the video? Click here to watch
🔬 Research Question
"What made an app released in 2020 go viral?"
Defined as reaching 1M+ installs by June 2021 — within 6–18 months of launch.
2020 was chosen deliberately: the COVID-19 pandemic drove unprecedented mobile app… See the full description on the dataset page: https://huggingface.co/datasets/yonilev/GooglePlayStoreApps.google-play-reviewGoogle-Play-Reviews-for-Sentiment-Analysisgoogle_play_store_reviews