Introduction:
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Quite often a time series analysis displays seasonality in which the data goes through regular or periodic fluctuations on an hourly, daily, weekly, monthly or yearly basis. It is important to identify those patterns and changes as they allow a better understanding of emerging trends and data abnormalities.
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Analysis Overview:
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The objective of <g class="gr_ gr_40 gr-alert gr_gramm gr_run_anim Grammar only-ins doubleReplace replaceWithoutSep" id="40" data-gr-id="40">day</g> of week analysis is to understand trends and changes in data which relate to human <g class="gr_ gr_41 gr-alert gr_spell gr_run_anim ContextualSpelling multiReplace" id="41" data-gr-id="41">behaviours</g> that are sensitive to time and calendar cycles. For example, retail sales tend to peak during and after Thanksgiving and then decline after the holiday.
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Analysis Benefits:
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A proper time series analysis allows your business to be better prepared for changes in traffic and website <g class="gr_ gr_39 gr-alert gr_spell gr_run_anim ContextualSpelling multiReplace" id="39" data-gr-id="39">behaviour</g> based on known and emerging trends. In other words, good planning and accepting feedback always benefit an organization.
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DAA members, go here to view full recipe. ------------------------------
Aleksandra Krsljanin-Ellis
Digital Analyst
Analytics Pros (Corporate Account)
Seattle WA
206.660.8660
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