I have one table with in y the regions, while in several years (2010, 2011, 2012, 2013 etc). Each year has one value for each region. I would like to nomalize the data of each column. Is it possible to normalize using the mean of the year? I tried this, but I am not sure.
t=readtable('Cartel3.xlsx')
t_norm a= normalize((t{2:end, 2:end}),'norm')
I have two tables with different data. I would like to compare them.I was asked to use the annual average to normalize. But it is not clear for me, the formula.
You can use normalize
directly on your table
providing you specify the 'DataVariables'
parameter, like this:
>> t = table(["A";"B";"C"], [1;2;3], [0;10;20], 'VariableNames', {'Name', '2011', '2012'})
t =
3x3 table
Name 2011 2012
____ ____ ____
"A" 1 0
"B" 2 10
"C" 3 20
>> normalize(t, 'DataVariables', t.Properties.VariableNames(2:end))
ans =
3x3 table
Name 2011 2012
____ ____ ____
"A" -1 -1
"B" 0 0
"C" 1 1
There's a specific example like this on the doc page.