data visualizing

Analyzing & Visualizing Data

1) Why you selected your data set?

Data selected is Weight-Height in a comma-separated values (CVS) file. This data is a clear representation of reality in real life. A good example is in calculation of Body Mass Index (BMI).Body Mass Index is a simple calculation using a person’s height and weight. The formula is BMI = kg/m2 where kg is a person’s weight in kilograms and m2 is their height in meters squared.

Weight-Height data is able to visualize the phenomena in a certain sample of a population to represent the population.

2) What are the physical properties of the data set?

Generally ,Weight-Height data set have 25000 rows and 3 columns that is Index,Weight,Height.

Height properties Weight properties

Lowest height = 60.27836 Lowest Weight = 78.01476

Highest height = 75.15280 Highest Weight = 170.9240

Mean_ height = 67.993114 Mean_weight =127.079421

Min_height = 60.278360 Min_weight = 78.014760

Max_height = 75.152800 Max_weight =170.924000

3) What could you do/would you need to do to clean or modify the existing data to create new values to work with? 

Data analysis and manipulation

This is accomplished by performing data description to obtain mean,min,max,count,frequency that are used to perform data plotting (Line,bar,scatter plot).

4) What other data could you imagine would be valuable to consolidate the existing data?

1. Age data of Weight-Height

2. country or Location of origin

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