## Histogram The histogram can be used to provide the distribution of our data. Using the `positive_cases_covid_d` dataset, let’s plot a histogram of the age of dead individuals. In this case, we will use the columns: 1. `edad` that refers to the age of the individual, 2. `unidad_medida` to ensure that the value in `edad` represents years, and 3. `estado` to filter by the `Fallecido` (dead individuals). To do this, open the `positive_cases_covid_d` dataset and click on the `Table` value to change the VISUALISATION TYPE:
![](images/change_viz_type.png){width=300px}
In the window that will open, type `histogram`:
![](images/type_histogram.png){width=750px}
Click on the histogram and on the `SELECT` button. In the Explore Page, select the column `edad` in the COLUMNS field and apply the two filters presented below:
![](images/hist_filter_1.png){width=300px}![](images/hist_filter_2.png){width=300px}
So, your final query configuration is:
![](images/hist_final_query.png){width=300px}
After clicking on the `RUN QUERY` button, this will be the displayed result:
![](images/plot_hist_1.png){width=500px}
To change the number of bins in the histogram, go to the CUSTOMIZE tab:
![](images/hist_customize.png){width=500px}
and change the NO OF BINS field:
![](images/hist_no_bins.png){width=300px}
After setting `NO OF BINS` to 20, you will get the result below:
![](images/hist_no_bins_20.png){width=500px}
If you hover the mouse over the bars, you get the information about what range of the `edad` (age) the bar represents, what is the exact count, cumulative, and percentile that this bar represents:
![](images/info_hist.png){width=500px}
It is now time to : 1. Specify a title for the chart, for instance `Age of dead individuals by COVID-19 in Colombia`, 2. Save it, by clicking on `+SAVE` button in the middle panel.