First of all, welcome to Math Stackexchange!
There is no such thing as a single vector representation over all of these four points.
Mathematically, a vector in the Euclidean $\mathbb{R}^n$ is a tuple of $n$ numbers — for example $$\begin{pmatrix}a\\b\end{pmatrix},\quad a,b\in\mathbb{R} $$
If you consider the 2-dimensional case, just as in your question.
So, what are these vectors used for?
First, you can describe points with it:
$\begin{pmatrix}1\\2\end{pmatrix}$
refers to the point that is located by $1$ on the X-Axis and $2$ on the Y-Axis.
If you want to think in pictures, think of the vector as an arrow pointing 1 unit to the right and 2 units up. It has no certain starting point, by this definition, the vector just tells you about the direction!
But if you use this vector to describe the location of a certain point, you have to imagine this arrow to be drawn from the origin. In this situation, the vector “points” to this point. If a vector describes the location of a point $A$, we usually write $\vec{OA}$ for it.
Another thing to do with vectors is describing the relative position of two points to each other. In this case, the arrow would start at point $A$ and then point to point $B$. For such a usage of a vector, we would write $\vec{AB}$.
Geometrically, one can “chain” tho vectors — mathematically, you just add them:
$$\vec{AC}=\vec{AB}+\vec{BC}$$
Flipping the direction makes it negative in each component:
$$\vec{AB}=-\vec{BA}$$
By that, one can conclude i.e. that $\vec{AB}=\vec{OB}-\vec{OA}$
By the pythagorean theorem, we can even find the length of such a vector: $|\vec{a}|=\sqrt{a_x^2+a_y^2+a_z^2}$.
Back to your original question:
I want to calculate one vector for all these points
Apparently, it is just not possible to use one single vector for that purpose.
You will need to describe each point by itself, so you will end up with $\vec{OA}, \vec{OB}, \vec{OC}, \vec{OD}$ — or you pick let's say $A$ to be your first point and describe all the other points relative to the previous one, which will give you $\vec{OA}, \vec{AB}, \vec{BC}, \vec{CD}$.
But either way, you will end up with four vectors.
EDIT:
As I think this might be your actual conceptual problem: You can obtain a vector from $A$ to $D$ by “going over” $B$ and $C$ ($\vec{AD}=\vec{AB}+\vec{BC}+\vec{CD}$), but this would in the end result in one vector that just describes the relative position from $A$ to $D$ — but the information with the help of which vectors you calculated at is lost.
LATER EDIT:
Let me add a bit about the component or basis notation:
There are multiple ways to describe a vector.
in the $\mathbb{R}_n$, one way is to write it directly, just as I did above all the time — for $n=2$, this looks like $$\vec{x}:=\begin{pmatrix}a\\b\end{pmatrix},\quad a,b\in\mathbb{R}$$.
But one can look at a vector as being a sum of each component:
Let (consider $\mathbb{R}_3$ now)
$$
\vec{i}:=\begin{pmatrix}1\\0\\0\end{pmatrix}\\
\vec{j}:=\begin{pmatrix}0\\1\\0\end{pmatrix}\\
\vec{k}:=\begin{pmatrix}0\\0\\1\end{pmatrix}\\
$$
Be the “unit vectors of $\mathbb{R}^3$”
Now, using scalar multiplication, you can say
$$
\begin{pmatrix}x_1\\x_2\\x_3\end{pmatrix}
= \begin{pmatrix}x_1\\0\\0\end{pmatrix} + \begin{pmatrix}0\\x_2\\0\end{pmatrix}
+ \begin{pmatrix}0\\0\\x_3\end{pmatrix}
= x_1\begin{pmatrix}1\\0\\0\end{pmatrix} + x_2\begin{pmatrix}0\\1\\0\end{pmatrix}
+ x_3\begin{pmatrix}0\\0\\1\end{pmatrix}\\
= x_1\vec{i} + x_2\vec{j} + x_3\vec{k}
$$
Therefore, another representation of $$\begin{pmatrix}a_1\\a_2\\a_3\end{pmatrix}-\begin{pmatrix}b_1\\b_2\\b_3\end{pmatrix}$$ would be $$(a_1-b_1)\vec{i}+(a_2-b_2)\vec{j}+(a_3-b_3)\vec{k}$$
And do not be confused by how I named the components: Because one might use vectors with more than three components some time, mathematicians tend not to use $x$, $y$ and $z$, but rather use for a vector $\vec{a}$ the components $a_1, a_2, \cdots, a_n$.
(A, B, C, and D)
that going over pointsB
andC
$\endgroup$$(x_1, x_2)$
gets $(x_1, x_2)$ — cf. here $\endgroup$