Basic data handling

Create data

 Syntax: Table[f, x, start, xstop, xstep, y, ystart, ystop, ystep]

This creates a list with values rising from zero to ten. This creates a two-dimensional list. Variables can contain data. This set the variable 'a' to a list. 'a' will now contain the list until you fill it with something else or close the program.

You can use the # symbol to get the value from the last calculation by table. This makes a list where the values go from 1 to 10 by using the # symbol. Visualize data

 Syntax: Show[{data0, data1, ...}, Options]

This visualizes the data in the variable 'a' that we created earlier. Modify data

 Get Get a specific value from a data variable. Drop Drop a specific cell of a data variable. Map Apply a function to all values in a data variable. Flatten Flat a data variable to a single dimension data variable. Count Counts the number of appearance of a specific value in a data variable. Fit Try to fit a line to a data variable.

Get

 Syntax: Get[data, dim1, dim2, dim3]

This gets the third value in the second sub-list of the data variable a. Note that the first value of a data variable has index 0. Drop

 Syntax: Drop[data, dim1, dim2]

This drops the second value of the data variable 'a' Note that variable 'a' still is the same. The change is made in variable 'b'. This is because Eudox makes a new variable where the change is made. 'a' is still the same variable. If you want to change variable 'a' you do like this. Map

 Syntax: Map[f, x, data]

This applies the function sine to all values of 'a'. Note that Map return a new variable with the new values, 'a' is still the same.

Flatten

 Syntax: Flatten[data]

This flats the data variable 'a' to a one-dimensional list. Note that Flatten return a new variable with the new values, 'a' is still the same.

Count

 Syntax: Count[data, value]

This counts the number of appearances of the value 4 in data variable 'a'. Next: Statistics