1.
- Bar chart (variable work):
- Histogram chart (variable work):
- The histogram provides information in a clearer and easier-to-see manner.
For the histogram chart, the data is divided appropriately to help the analyst
see a clear decreasing trend, and this is a positively skewed chart.
2.
The problem in (1) is that the generated chart does not match the measure
of the variable type. First of all about measure, because this is work
experience expressed in continuous numbers and from there, change the
word measure from nominal to scale. The histogram fits the scale variable:
The histogram allows us to see the continuous distribution of work
experience, including the shape of the distribution, the central value, and
the dispersion of the data. Bar charts are not suitable for scale variables:
Bar charts only show the frequency of individual values, not the overall
distribution of the data. This is not relevant for the variable "work", since
we are interested in a continuous distribution of work experience.
3.
Median number of years of work experience: 4,5800 year
Q1 (Percentiles 25): 1,5800 years.
Q2 (Percentiles 50): 4,5800 years (Median).
Q3 (Percentiles 75): 11,6650 years.
50% of employees have work experience ranging from 1.58 years to 11,665
years (Q1-Q3).
4.
No prior work experience: 5,1 %
15% had work experience below: 0,7500 years
90% had work experience above: 21,8750 years