# data[].attributes.body
The group of age that is closer to Golden number (1,62) is the 1st group (1,6)
The mean of the height/distance navel-feet is of 1,68 and the Golden Number is 1,62 the difference is of 0,06

# data[].attributes.body
The group of age that is closer to Golden number (1, 62) is the 1st group (1, 6)
The mean of the height/distance navel-feet is of 1,71 and the Golden Number is 1,62 the difference is of 0,09

# data[].attributes.headline
hello, i have thought about the results of the mean and the golden number.The mean is 1.60 and the golden number is 1.61.Their difference is about 1 tenth.

# data[].attributes.subject
hello, i have thought about the results of the mean and the golden number.The mean is 1.60 and the golden number is 1.61.Their difference is about 1 tenth.

# data[].attributes.body
Chrysa has shorted the table in a new sheet. So do not forget to open sheet 2, to continue the task

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Alex :Column of the quotients deadline 23th
Raúl and Nerea :Mean of quotients and comparison 25th
Chrysa: Sort table by ages 24th
Christina: Mean of the sorted table  25th
Bruno: Comparisons between ages 26th
Lucía :Any kind of graph 27th
Roberto :Conclusions 28th ( a draft here and the final conclusion in our e-book) 1st february

# data[].attributes.body
i will compare the mean with golden number

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i'll create a new column by calculating the quotients of total height/navel-sole of feet

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I will find the means of the sorted tables.

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I will sort the table in three age groups. I propose these groups of ages: 9-20, 20-45, 45-90!

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Show the información in a bar diagram

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Hi, I will make the conclusions.

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This is an example