import analyze
import visualize
from config import CONFIG
if __name__ == '__main__':
resultfiles = {}
resultfiles['tourspot_visitor'] = []
resultfiles['foreign_visitor'] = []
# collection
returnedFilename = collect.crawling_tourspot_visitor(
district=CONFIG['district'], **CONFIG['common'])
resultfiles['tourspot_visitor'].append(returnedFilename)
for country in CONFIG['countries']:
returnedFilename = collect.crawling_foreign_visitor(country=country,
**CONFIG['common'])
resultfiles['foreign_visitor'].append(returnedFilename)
# analysis
results = analyze.analysis_correlation(resultfiles=resultfiles)
# visualize
for result in results:
print(result)
visualize.graph_scatter(results, showgraph=False)
# 2. analysis & vsualization
result_analysis = analyze.analysis_correlation_by_tourspot(
resultfiles=resultfiles)
print(result_analysis)
visualize.graph_bar(result_analysis, showgraph=True)
import collect
from config import CONFIG
import analyze
import visualize
if __name__ == '__main__':
# 데이터 수집(collectino)
collect.crawling_tourspot_visitor(district=CONFIG['district'],
**CONFIG['common'])
for country in CONFIG['countries']:
collect.crawling_foreign_visitor(country, **CONFIG['common'])
# 데이터 분석(analyze)
import pandas as pd
import matplotlib.pyplot as plt
from config import CONFIG
if __name__== '__main__':
resultfiles = dict()
#collect
resultfiles['tourspot_visitor'] = collect.crawling_tourspot_visitor( # 서울특별시 데이터 생성후 파일만들기
district=CONFIG['district'],
**CONFIG['common'])
resultfiles['foreign_visitor'] = []
for country in CONFIG['countries']:
rf = collect.crawling_foreign_visitor(country, **CONFIG['common']) # 외국방문 데이터 생성후 파일만들기
resultfiles['foreign_visitor'].append(rf)
# 1. analysis and visualize
result_analysis = analyze.analysis_correlation(resultfiles)
visualize.graph_scatter(result_analysis)
# 2. analysis and visualize
result_analysis = analyze.analysis_correlation_by_tourspot(resultfiles)
print("result_analysis === " , result_analysis)
graph_table = pd.DataFrame(result_analysis, columns=['tourspot', 'r_중국', 'r_일본', 'r_미국'])
print("graph_table === ", graph_table)
graph_table = graph_table.set_index('tourspot')
graph_table.plot(kind='bar')
plt.show()