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| 1 | # analyze between search rate and stocks correlation | 1 | # analyze between search rate and stocks correlation |
| 2 | 2 | ||
| 3 | 3 | ||
| 4 | -## 1 cd server && ipython notebook | 4 | +### 1 cd server && ipython notebook |
| 5 | 5 | ||
| 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 |
| 9 | 9 | ||
| 10 | 10 | ||
| 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 |
| 14 | 14 | ||
| 15 | 15 | ||
| 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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