From the course: Data Analytics for Business Professionals

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Types of data

Types of data

From the course: Data Analytics for Business Professionals

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Types of data

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- Now that we have an understanding of what Red30 does, let's start by defining the types of data that exist. Data can be separated into two categories, quantitative and qualitative. Quantitative data is data that could be measured in numerical form. Qualitative data is information that is gathered in non-numerical form, that is typically descriptive and may be recoded to try and quantify its meaning. For example, quantitative data can include the total annual sales of Red30, employee performance review ratings on a scale of 1 to 10, a report with last month's profitability by store location. Qualitative data includes things such as summaries of written comments on customer cards collected from suggestion boxes at stores, results from interviews of store managers by an outside consultant, a paragraph taken from an employee's self-evaluation on a performance review. While descriptive statistics can be generated from both of these information sets, their potential applications and tools…

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