It is possible to select charts if working only with a single variable. That is a dataset containing a single column of data. For example:
In this case, we only have a single variable. The id defined in the first column of the first row. This indicates the subject, or the type of data we are working with.
The data is defined by “Body Mass of Group”. The data reveals it is a continuous variable since it can take any possible value. We also know it is a continuous variable because the data is presented in fractional amounts.
We already know that there is only a single variable in the dataset (i.e. amount), and we know that the variable in the dataset is continuous (i.e. the type). Now it is possible to choose which chart type we want.
Selecting the Right Chart
Histograms are ideal for one variable chart type. This is because it is a chart type designed for distribution of numerical data. Histograms estimate the probability distribution of a continuous variables. For example, when using Quadrigram, the editor will automatically distribute the values separately and plot these on the x-axis. Therefore, it is possible to only have one variable dataset because it automatically generates the other variable which makes it possible for visualization.
In Quadrigram, it is possible to modify the distribution of variables by going to the chart editor on the right-hand side in the bins submenu.
You can add more bars to the chart by increasing the size of the bar (e.g. 6,7,8). The editor will automatically calculate the the new graphical distribution. So say, we want to go from 5 bins (e.g. as chart above) to 8. The new graphical representation will look like this:
You can also manually type the graphical distribution of the chart by double-clicking on the bins submenu slot and manually type in the desired ranges under the id name. To be recognized as distribution values, make sure to type these in brackets in order to be recognized by the editor.