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import pandas as pd | |
import numpy as np | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
%matplotlib inline | |
# input files | |
FILE_EMPLOYEE = 'data/employee.xlsx' | |
FILE_GEO = 'data/employee_geo.xlsx' |
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Option Explicit | |
''' Global constants for ease of config | |
Const MY_TITLE As String = "MOM VIII Sales Meeting Log" | |
Const MEETING_RAW = "_meetings" | |
Const MEETING = "Meetings" | |
Const EMPLOYEE_RAW = "_employees" | |
Const TAG_RAW = "_tags" | |
Const NAMEDRANGE_EMPLOYEE = "BSG_Ops___Employees" |
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''' TODO | |
''' Add alternate colors to rows | |
''' Add error handling | |
Option Explicit | |
''' Global constants | |
Const MY_TITLE As String = "Meow VIII VC Marketing Pipeline" | |
Const SOURCE As String = "_P8VC" | |
Const DESTINATION As String = "P8VC" |
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import webbrowser as wb | |
import time | |
import os | |
# replace url_base with your Backstop instance URL | |
url_base = 'https://[BACKSTOP_URL]' | |
url_delete_contacts = '/backstop/crm/ManageContacts.do?ACTION=DELETE&id=' | |
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import pandas as pd | |
# setting file names | |
FILE_MASTERS = 'masters.csv' | |
FILE_LOOKUP = 'lookup.csv' | |
FILE_MASTERS_DUPS = 'masters_dups.csv' | |
FILE_OUT = 'output.csv' | |
# reading data from masters file |
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ID | Country | |
---|---|---|
100001 | USA | |
100002 | USA | |
100003 | UK | |
100008 | UK | |
100009 | China | |
100010 | USA |