def main():
mac.acquire()
san.analyze()
man.analyze()
mre.reporting()
print(
'========================= Pipeline is complete. You may find the results in the folder ./data/results and my Tweeter account!========================='
)
def main(country, job):
data = mac.acquire()
relevant_data = mwr.transform_data(data)
clean_data, countries_codes = mwr.country_name_import(relevant_data)
select_job, key_uuid = mwr.job_data(clean_data, job)
filtered_data = mwr.job_filtering(clean_data, select_job, key_uuid)
filtered_data = man.country_filtering(filtered_data, country,
countries_codes)
result = man.analyze(filtered_data, job, clean_data)
mre.visualizing_histogram(result['Age'], country, job)
mre.reporting(result)
print(
'======= Pipeline is complete. You may find the results in the folder ./data/results ======='
)
def main(country):
print('Starting pipeline...')
# Acquisition
m_acquisition.acquisition()
# Wrangling
df = m_wrangling.wrangling()
# Analysis
final_data = m_analysis.analyze(df, country)
# Reporting
m_reporting.reporting(final_data, country)
print('pipeline finished...')
def main(args):
print('starting the analysis procedure...')
all = acq.getall(args.path)
moreall = wrang.wrangling(all)
report = anal.grouptable(moreall, args.country)
finish = rep.reporting(report, args.country)
print(finish)
print('pipeline finished')
def main(arguments):
data = mac.acquire(arguments.path)
filtered = mwr.wrangle(data, arguments.unemployed)
results = man.analyze(filtered)
reporting = mre.reporting(results, arguments.country)
reporting.to_csv('./data/results/Results.csv')
print(reporting)
print(
'\n\n======================| Pipeline is complete. You may find the results in the folder ./data/results |==============================\n\n'
)