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 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% | ||||