김승훈

READNE

1 # analyze between search rate and stocks correlation 1 # analyze between search rate and stocks correlation
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4 -## 1 cd server && ipython notebook 4 +### 1 cd server && ipython notebook
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6 -## 2 data (this data is naver trend - search rate, company name sorted by date) acquisition 6 +### 2 data (this data is naver trend - search rate, company name sorted by date) acquisition
7 -and save it to csv file 7 +### and save it to csv file
8 -### RUN pr.ipynb 8 +#### RUN pr.ipynb
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11 -## 3 data (this data is crawled in naver financial by company code, it is stock sorted by date ) 11 +### 3 data (this data is crawled in naver financial by company code, it is stock sorted by date )
12 -crawling and save it to csv file 12 +### crawling and save it to csv file
13 -### RUN pr-finance.ipynb 13 +#### RUN pr-finance.ipynb
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16 -## 4 data visualize to graph (as of current, there is three company visualization. later, I will visualize all company )
17 -### RUN data-visualize.py
...\ No newline at end of file ...\ No newline at end of file
16 +### 4 data visualize to graph (as of current, there is three company visualization. later, I will visualize all company )
17 +#### RUN data-visualize.py
...\ No newline at end of file ...\ No newline at end of file
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