Instructions
Data Driven Business Strategies
Core Task
You will need to analyse Detroit's weather from
the year you were born to make informed business decisions.
Background
You have a business selling raincoats and winter coats to tourists
across the US Midwest. An increase
in competition has put your business in Detroit, MI, under
pressure. You decide to use your IT and business knowledge and pursue a variety
of sales strategies based on clear data driven decisions. You plan to use past
data on Detroit's weather to help you understand the impact of weather on these
strategies.
You decide to download the weather data from National Oceanic and
Atmospheric Administration (NOAA), analyse it using
RapidMiner - or similar analytical package - and develop an action plan.
Data
Download weather data for Chicago, IL for the year you were
born from NOAA's website. You will
need to submit this data file with your assignment.
e.g. If you were
born in 1963... then select data from 1st January 1963 to 31st December 1963.
Key facts on data:
·
Start here.
·
Select Weather Observation
Type/Dataset: Daily Summaries
·
Select Date Range: [Year you
were born]-01-01 to [Year you were born]-12-31 eg. 1963-01-01 to
1963-12-31
·
Search For: Cities
·
Enter a Search Term: Detroit
·
Output Format: Custom
GHCN-Daily CSV
·
Units: Metric
·
Data Types: Select All
See the Workshop video and slide deck for a related
example.
Task
Submit a brief report answering the following questions.
You are encouraged to use the template provided (see
below) and to use RapidMiner as the data analysis package.
However, any reasonable analytics package/environment will permit this level of
analysis - even Microsoft Excel (although it will be considerably more time
consuming in Excel).
You must submit 3 files:
·
Report: NAME_A3c.PDF
·
Data File: NAME_A3c_data.CSV
(original file downloaded from NOAA)
·
Screenshot of
analytics: NAME_A3c_screenshot (This should be at the end of your analysis
and must show the package used).
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