According to Statista, the global mobile internet penetration has exceeded half the world’s population, while the average daily time spent accessing online content from a mobile device, such as a smartphone, a tablet computer or wearable, has reached 185 minutes daily among Millennials. Currently, the two largest global platforms for app distribution are Apple’s App Store, which caters to iOS users, and Google Play, the official app store for the Android OS. The fact that mobile apps are relatively easier to create than computer apps, as well as their considerably lower price has translated into a growing industry which produce every year more and more. It is impossible to know exactly how many apps are there, but as of March 2018 there were some 3.6 million apps in Google Play alone. So, how to create a successful mobile app winning more customers in fierce competition? What key ingredients do the popular apps possess? In order to figure out these questions, we make some descriptive statistical analysis in this report.
- Data Collection Code
- Data Visualization (divided in 4 parts)
- Assessments Sentiment Analysis (including Polarity and Subjectivity)
- Final Report -- With code &Without code
- Website.
- Website Rep.
- Original Data: Scraping from Google Play Store 1081 rows × 8 columns
- Contributory Data: Download from Kaggle 937 rows × 10 columns
- Preliminary Work: Collect and analysis data from Kaggle.
- Medium-term Work: Scrape and analysis data from Google Play Store.
- Final Work: Compare these two parts of results and finish the report.
- Future Work: Lucubrate the project especially evelop the Assessments Analysis part.
FENG Yujin Group
FENG Yujin 18413188 (GitHub ID Catmint1215)
GU Minyi 18445276 (GitHub ID guminyi)
CHEN Ye 18428665 (GitHub ID Shinonomee)
DU Jiawei 18420990 (GitHub ID Jasmine-dudu)