김승훈 / big-data2project

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김승훈
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# analyze between search rate and stocks correlation
## 1 cd server && ipython notebook
### 1 cd server && ipython notebook
## 2 data (this data is naver trend - search rate, company name sorted by date) acquisition
and save it to csv file
### RUN pr.ipynb
### 2 data (this data is naver trend - search rate, company name sorted by date) acquisition
### and save it to csv file
#### RUN pr.ipynb
## 3 data (this data is crawled in naver financial by company code, it is stock sorted by date )
crawling and save it to csv file
### RUN pr-finance.ipynb
### 3 data (this data is crawled in naver financial by company code, it is stock sorted by date )
### crawling and save it to csv file
#### RUN pr-finance.ipynb
## 4 data visualize to graph (as of current, there is three company visualization. later, I will visualize all company )
### RUN data-visualize.py
\ No newline at end of file
### 4 data visualize to graph (as of current, there is three company visualization. later, I will visualize all company )
#### RUN data-visualize.py
\ No newline at end of file
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