Datathon Kaufland Solution – Kaufland case – Team3

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In [1]: import s3fs import pandas as pd import matplotlib.pyplot as plt import matplotlib.dates as mdates import seaborn as sns import numpy as np import pywt In [2]: fs = s3fs.S3FileSystem(anon=True) fs.ls(‘datacases/datathon-2018-2/’) Out[2]: [‘datacases/datathon-2018-2/kaufland’, ‘datacases/datathon-2018-2/nsi’, ‘datacases/datathon-2018-2/ontotext’, ‘datacases/datathon-2018-2/telelink’, ‘datacases/datathon-2018-2/telenor’] In [3]: fs.ls(‘datacases/datathon-2018-2/kaufland’) Out[3]: [‘datacases/datathon-2018-2/kaufland/20180820_Kaufland_case_IoT_and_predictive_maintenance_events.xlsx’, ‘datacases/datathon-2018-2/kaufland/20180920_Kaufland_case_IoT_and_predictive_maintenance.csv’, ‘datacases/datathon-2018-2/kaufland/sample_Kaufland_case_IoT_and_predictive_maintenance.csv’] Events¶ In [4]: with fs.open(‘datacases/datathon-2018-2/kaufland/20180820_Kaufland_case_IoT_and_predictive_maintenance_events.xlsx’, ‘rb’) as f: df_events = pd.read_excel(f) In [5]: df_events Out[5]: […]

Fruit Ninjas: Kaufland Case

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Fruit Ninjas:  Kaufland Case Tech: Microsoft Azure: 2 vauchers: W78FLCKPCAY42VJ1N9 W6Q5SI6BPKR8HQ9KPK   Business understanding Kaufland is amongst the biggest hypermarket chains in Central and East Europe. The Kaufland team is devoted to enhancing customers’ satisfaction with the products and services offered by its stores and keeping up with the competition. The aim of the current […]