How statistics are calculated
We count how many offers each candidate received and for what salary. For example, if a Data Visualization developer with a salary of $4,500 received 10 offers, then we would count him 10 times. If there were no offers, then he would not get into the statistics either.
The graph column is the total number of offers. This is not the number of vacancies, but an indicator of the level of demand. The more offers there are, the more companies try to hire such a specialist. 5k+ includes candidates with salaries >= $5,000 and < $5,500.
Median Salary Expectation – the weighted average of the market offer in the selected specialization, that is, the most frequent job offers for the selected specialization received by candidates. We do not count accepted or rejected offers.
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Data Visualization
The art of data visualisation is about telling a story with data. Here’s the only book you’ll need on the subject.
Data visualisation is an effective method to allow people (generally data enthusiasts) exhibit data; to permit them to interpret data. It’s the act of making a story out of data by converting spreadsheets of numbers into spectacular graphs and charts.
What is data visualization?
Data visualisation can be defined as a tool or process where data and information are put into charts, graphs, maps, pictures or other visual representation to facilitate an easy understanding of any patterns, trends or outliers in them.
Data visualisation also presents data to wider non-technical or expert audiences in an accessible way, such as the health agency of a government showing a map of vaccinated regions.
A good data visualisation makes it easier for a decision-maker to see the wood for the trees; to make sense of a dull database; to see issues clearly, and therefore to decide what to do next.