All About Data

Lupita Victoriano

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Qualitative vs Quantitative

Qualitative data is when you are given a description of the picture. For example there's a white cup of coffee sitting on a table.


Quantitative data is when you look at a picture and give a description that is measurable. For example the temperature of the coffee in the cup is 95 degrees.

Bivariate vs Univariate

Bivariate Data Analysis is when you are comparing two sets of data. For example if I want to see if the temperature of the coffee is related to the time that it sits out.


Univariate Data Analysis is when you are not comparing. You are just looking at one number. For example if I wanted to see the average temperature of several cups of coffee.

How is Data Displayed?

Data is displaced using a circle graph and a stem and leaf graph.

Stem & Leaf Plot

On a steam and leaf plot you can find the patterns of mean, median, mode and the range. For example on the stem and lead graph below you can see the median which is the middle number, 87. The mode is the numbers with the most repetition, in this case is is 72, 87 and 100.
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Circle Graph

A circle graph you use to find the percentage out of the total of 100%. For example in the circle graph below you are looking at the percentage of sneakers sold in that month.
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Why do we need data?

Data is needed for many important reasons such as finding answers to any conflicts, to compare and check if the data you have is validate and for any improvements in businesses and most importantly to avoid conflicts.