Repository for project collaborated with CMR(Convenient Meal Replacement) company 'Intake' with Growth Hackers(SNU business data analysis academic society) members.
See more about Growth Hackers: http://ghmkt.kr/
The project was conducted in two parts, textming and log data anlysis.
1. Textmining
- Identify consumer awareness of brand Intake
- Analysis the difference between other CMR brand
- Derive insights that can be useful for product improvement and marketing
2. Analysis features by product and behavior pattern in online brand shop
- Analysis difference among Intake product and difference among similar product lines with competitor brand using online brand shop review data.
- Analysis consumer funnel and consumer behavior pattern using online brand shop log data and Google analytics data.
- Derive insights that can be useful for product improvement and marketing
Instagram:
- insta_crawling.ipynb: crawler to collect instagram posting for jupyter notebook
- make_mecab_dic.ipynb: New version of social_analysis.ipynb using mecab library for jupyter notebook
- social_analysis.ipynb: textmining file using konlpy library for jupyter notebook
- social_analysis.py: textmining file for python idle
- tutorial_social_analysis.ipynb: tutorial version of social_analysis.ipynb
blog:
- blog_crawler.py: Naver Blog cralwer
- blog_crawler.ipynb: Naver Blog cralwer for Jupyter Notebook
- Blog_analysis.py: Edited version of social_analysis.py for blog analysis
shoppingMall:
- COUPANG_crawler.py: coupang crawler
- SSG_CMT.csv: SSG review data
- SSG_CMT_UTF.csv: SSG review data with encoding UTF-8
- SSG_DATA_PREPROCESS_UPLOAD_DB.ipynb: upload SSG review data after replacing product options with product names
- SSG_WORD_CSV.csv: product options to be replaced with product names
- SSG_crawler.ipynb: SSG crawler
- TMON_crawler.py: TMON crawler
- WMP_crawler.py: WeMakePrice crawler
- chromedriver.exe
- smartstore.py: Naver Smartstore crawler