def main(args):
print('starting pipeline...')
data = mac.acquire(args.path)
data = wra.wrangling(data)
table_country = anl.percent_country(data, args.country)
print(table_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(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 pipeline and retrieving information...')
print('Getting information from database analysed...')
df_m1 = mac.acquire(args.path)
df_m2 = mwr.wrangling(df_m1)
if args.country is None:
print('retrieving information for all countries...')
df_m3 = man.analysis(df_m2, 'all')
else:
df_m3 = man.analysis(df_m2, args.country)
print(
'********************* Pipeline is complete, you can find the results in the data results folder *********************'
)
def main(args):
print('starting pipeline...')
print('Getting the data from database...')
raw_data = mac.acquire(args.path)
print('Data from database is there!...')
print('Dealing with data...')
data = mwr.wrangling(raw_data)
print('Data dealt!')
print('analysing the data...')
molins = man.analysis(data, args.country)
print(molins)
print('Data analysed!...')
# Data reporting
print('Lets create the report...')
mre.graph_reporting(molins)
mre.pdf_reporting()
mre.email_reporting(arguments.email)
print('Report created!')
print(
'========================= Pipeline is complete. You may find the results in the folder '
'./data/results =========================')
def main(arguments):
print('Starting pipeline...', end='')
time.sleep(1)
print('....', end='')
time.sleep(1)
print('....')
df_project = mac.acquire(arguments.path)
data_merged = mwr.wrangling(df_project)
data_merged.to_csv('./data/processed/data_merged_info.csv')
data_project_analysed = man.analyce_data(data_merged, arguments.country)
data_project_analysed.to_csv('./data/results/country_gender_analysed.csv')
print(data_project_analysed)
# Bonus 1:
print('Getting Opinions...')
data_opinions = man.judgement(df_project)
data_opinions.to_csv('./data/results/Bonus1-Data_Opinions.csv')
print(data_opinions)
print(
'========================= Pipeline is complete. You may find the results in the folder '
'./data/results =========================')
def main(arguments):
rural = mac.acquire()
rural_processed = mwr.wrangling(rural)
rural_analysed = man.analyze(rural_processed, arguments.country)
return rural_analysed