The following chart about "ranges and trends for digital marketing salaries" has some problems that appear in a great number of charts.
The head tilt required to read the job titles.
The order of the job titles is baffling. It's neither alphabetical nor by salary.
The visual form suggests that we could see trends in salaries reading left-right, but the only information about trends is the year on year salary change, printed on top of the chart.
Some readers will violently object to the connecting lines between job titles, which are discrete categories. In this case, I also agree. I am a fan of so-called profile charts in which we do connect discrete categories with connecting lines - but those charts work because we are comparing the "profiles" of one group versus another group. Here, there is only one group.
The N=3,567 is weird. It doesn't say anything about the reliability of the estimate for say Chief Marketing Officer.
A dot plot can be used for this dataset. Like this:
The range of salaries is not a great metric as the endpoints could be outliers.
Also, the variability of salaries is affected by two factors: the variability between companies, and sampling variability (which depends on the sample size for each job title). A wide range here could mean that different companies pay different salaries for the same job title, or that very few survey responders held that job title.