Overview Prior to data analysis, the first step is to identify and understand the problem to be solved. Once you have a good idea of what you are looking for, you can start to gather the data required to do your analysis. This could mean extracting data from many different sets of data, different types of data, and different periods in time. Prompt For this journal as

Prior to data analysis, the first step is to identify and understand the problem to be solved. Once you have a good idea of what you are looking for, you can start to gather the data required to do your analysis. This could mean extracting data from many different sets of data, different types of data, and different periods in time.

Prompt

For this journal assignment, imagine that you are a data analyst consultant who was hired by a hospital to assist with an internal study. They are looking to track the most common injuries to the age group “Infant/Child” within the last 10 years in comparison to the most common injuries of the previous 10 years for the same age group at this hospital. You will need to identify the problem, determine what data you need, and explain how you would extract that data to begin data analysis.

Specifically, you must address the following rubric criteria:

Clarify the problem to identfy what type of data you need.

Discuss what data you would isolate and extract to produce results for the hospital’s internal study.

Explain your thought process for your choices of data extraction.

Guidelines for Submission

Your journal entry should be a one- to two-page Word document using Times New Roman, one-inch margins, and double spacing. Sources should be cited according to APA style.

 

Module Two Journal Rubric

 

Criteria	Exemplary (100%)	Profcient (85%)	Needs Improvement (55%)	Not Evident (0%)	Value
Problem Identfcaton	Exceeds profciency in an	Defnes the problem	Shows progress toward	Does not atempt criterion	30
	exceptonally clear, insightul,		profciency, but with errors or
	sophistcated, or creatve		omissions; areas for
	manner		improvement may include
			inaccurate or incomplete
			defniton of the problem
Data Requirements	Exceeds profciency in an	Identfes the appropriate data	Shows progress toward	Does not atempt criterion	25
	exceptonally clear, insightul,	requirements	profciency, but with errors or
	sophistcated, or creatve		omissions; areas for
	manner		improvement may include
			cursory or incomplete data
			requirements

 

Criteria	Exemplary (100%)	Profcient (85%)	Needs Improvement (55%)	Not Evident (0%)	Value
Extracton Selectons	Exceeds profciency in an	Details thought process of	Shows progress toward	Does not atempt criterion	25
	exceptonally clear, insightul,	data extracton selectons	profciency, but with errors or
	sophistcated, or creatve		omissions; areas for
	manner		improvement may include
			inadequate detail of the
			thought process
Artculaton of Response	Exceeds profciency in an	Clearly conveys meaning with	Shows progress toward	Submission has critcal errors	10
	exceptonally clear, insightul,	correct grammar, sentence	profciency, but with errors in	in grammar, sentence
	sophistcated, or creatve	structure, and spelling,	grammar, sentence structure,	structure, and spelling,
	manner	demonstratng an	and spelling, negatvely	preventng understanding of
		understanding of audience	impactng readability	ideas
		and purpose
Citatons and Atributons	Uses citatons for ideas	Uses citatons for ideas	Uses citatons for ideas	Does not use citatons for	10
	requiring atributon, with few	requiring atributon, with	requiring atributon, with	ideas requiring atributon
	or no minor errors	consistent minor errors	major errors
				Total:	100%