Data Visualization , Screen-3

Average life expectancy, as measured in years, is an example of continuous data.

In what terms this is a continuous data. Eg; 78.9 ; what .9 represents. It is months.

Hi @sharathnandalike,

78.9 is not 78 years and 9 months. Here .9 is 90% of the year, that is 10.8 months.

78.9 Years = 946.08 Months = 946 Months, 2 Days, 10 Hours, 26 Minutes and 40 Seconds

Best,
Sahil

Hi Sahil,

This looks a bit confusing. Eg; if we say the height is 78.9 metrs , it means 78 m & 9 cms.

So, how the 78.9 yrs. calculation done coz the next unit of year is month.

**plz elaborate 78.9 Years = 946.08 Months = 946 Months, 2 Days, 10 Hours, 26 Minutes and 40 Seconds. I did not understand

Hi @sharathnandalike,

78.9 meters is not 78 meter and 9 centimeters, It’s 78 meters + 90% of a meter that is 90 cm:

78.9m = 7890cm

I think you got this idea from centimeter to millimeters conversion. 1.5cm = 1cm + 5mm. However, the same system applies here. 1.5cm is 1 centimeter + 50% of a centimeter that is 5mm:

1.5cm = 15mm

In the case of 78.9 Years, It is 78 years + 90% of a year that is 10.8 months.

78.9 = 78 year + 10.8 months = 935.999 months + 10.8 months = 946.799 = 946.8 (approx, sorry my calculation in previous post was inaccurate)

We can further drill this down to the precision of days, hours, minutes, seconds, etc.

1 month is 30.4167 (365/12)

.8 is 80% of 1 month that is 80% of 30.4167 = 24.33336. That is 24 days. Now let’s calculate hours:

33% (approx) of 24 hours = 7.92 — 7 hours

92% of 60 minutes = 55.2 — 55 minutes

20% of 60 seconds = 12 seconds

So basically, 78.9 years is 946 months, 24 days, 7 hours, 55 minutes, 12, seconds (ignoring any minor mistakes in my calculation due to approximation). To verify whether our calculation is correct, let’s use an online calculator that converts years to days and do it manually as well based on our result above.

946.799 * 30.4167 = 28798.5011433

If you google 78.9 years to days, you will get 28798.5 which is very close to the result we got. The difference here is due to approximation.

The data is continuous because we can drill down a year value into months, days, hours, minutes, seconds, milliseconds, and so on…

Even if we got 12 seconds, because of the continuous nature, it is not exactly 12.0, it can be 12.0000000000001 or 11.9999999999999. We cannot measure continuous measurement with complete accuracy, so we approximate it.

For example, let’s say something is 1.54 cm in length and we are trying to measure it with a normal centimeter scale. We can only measure it as 1.5 because the scale doesn’t have a measurement for micrometers on it. Thus, we can never measure a continuous value with exact precision. Suppose you just calculated your age from the exact time you are born, since time never stops, by the time you see your age, your result will be off by at least a few milliseconds.

This is the characteristic of a continuous value, we can only find the approximation of it. 78.9 is a continuous value because we don’t know whether it is 78.8999999999 or 78.90000000001. 78.9 is an approximated average age.

On the other hand, discrete values can be how many coins are there in your wallet. For simplicity, consider this:

Discrete - Something you can count
Continuous - Something you can measure (with approximation)

With the above guideline, time can be discrete in some cases and continuous in others. For example:

Discrete - Number of months in a year
Continuous - Your age as of now (You have to measure it from the time you are born)

Best,
Sahil

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Hi Sahil,

Thanks for your kind reply & for answering the question elaborately.

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