How do I find slope for large dataset?

I have a large dataset and i want to compute the gradient for between two corresponding data and their corresponding times for a large data.

time data

20 6.6

30.3 7.2

41 -8.6

. .

. .

for a large dataset i want to do

A = (7.2 - 6.6) / (30.3 - 20) and store all output in a column format in A.

I tried to use a for loop but my output is not what it needs to be

Answer 1

[Davide Masiello]

Just do

A = diff(data)./diff(time);

[Stephen Tete]

Thank you

Answer 2

[Jan]

The command gradient(x, t) solves this similar to diff(x) ./ diff(t), but with using the 2-sided difference except for the margins. This replies the same number of elements as the input and is numerically more stable.

[Stephen Tete]

Oh okay thank you