Time Series Data Mining Discussion

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Business Finance

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Time Series Data Mining Discussion

Consider the following time series plot. There is obviously some type of pattern. 

*See the picture in the attached files. *

Consider yourself a data analyst at the CDC, and think:

What further analysis (descriptive, predictive, etc.) would you do to analyze this data? 

Discuss your next steps (they can be bullet points, questions to ask your boss, exploratory data analysis to conduct, things you are worried/concerned about with the data - Basically, it can be a random list of your thoughts - nothing formal.)

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Assignment Details: Time Series Data Mining Discussion Consider the following time series plot. There is obviously some type of pattern. Consider yourself a data analyst at the CDC, and think: What further analysis (descriptive, predictive, etc.) would you do to analyze this data? Discuss your next steps (they can be bullet points, questions to ask your boss, exploratory data analysis to conduct, things you are worried/concerned about with the data - Basically, it can be a random list of your thoughts - nothing formal.) Be as specific as possible. Your response to this discussion board assignment should be no less than 500 words and satisfies all the requirements mentioned above. If you cannot see the picture, I have also uploaded it to the attached files along with a word file of this description. Thank you! Provisional Death Counts for Coronavirus Disease 2019 (COVID-19) By Week of Death Select Sex Select Measure Select Age Group Reporting Period All Sex COVID-19 Deaths All Ages Week ending 1/4/2020 through 1/30/2021 Data represented with a dashed line are incomplete. Deaths counts will be updated as additional data are received. Provisional Death Counts, by Week Ending Date and Age Group 20K 15K Count 10K 5K . OK Mar 2020 May 2020 Sep 2020 Nov 2020 Jan 2021 Jul 2020 Week ending Date NOTE: Provisional death counts are based on death certificate data received and coded by NCHS as of the date of analysis and do not represent all deaths that occurred in that period. Data for the most recent 5 weeks (shown with dashed line) are typically less than 90% complete, with lower levels of completeness in more recent weeks. Death counts are updated as additional deaths are received and coded. SOURCE: NCHS, National Vital Statistics System. Estimates are based on provisional data.
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Running head: DATA ANALYSIS

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Data Analysis
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DATA ANALYSIS

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Data Analysis

According to the given data, there are trends and seasonal components, as shown by the
graphical representation. It shows that June 2020 had the lowest death count while January 2021
recorded the highest value. The data have shown all this plus other vital information due to its
static data. The data has undergone the Dickey-Fuller test using null and alternate hypotheses.
This interpretation can analyze several components of the data using various methods
(Golyandina et al., 20...


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