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Data journal part 4
Curate good data visualizations
The first graph above shows the number of workers performing auxiliary work as artists, and the second graph shows the number of workers engaged in other cultural occupations.
In the graph, jobs are listed on the y-axis, and the x-axis represents the number of jobs. It is listed in ascending order and figures are displayed on each graph, making it easy to read information at a glance. In the first graph, about 333,000 workers side-work as artists.
More than half (56%) of these workers are mainly engaged in one of the "specialized" services, a category that includes medical and education, leisure and entertainment, advertising and photography services.
In the second graph, in addition to the 2.5 million workers with their main jobs as artists, nearly 1.2 million workers are engaged in other cultural jobs.
Librarians, editors, and printer operators account for the largest number.
Figure C lists flow indicators in various fields related to national art. They are simple bar graphs, but they seem to be the most effective ones.
It can be seen that the financial flow of the art field (gray, upper left quadrant) increased from 2003 to 2006 and decreased regularly since 2007.
In the 2000s, the number of art businesses and other organizations creating infrastructure in the art (blue, upper right quadrant) is increasing. Growth has stabilized since 2007, but has remained stable overall until 2013 in all indicators. Art's competitiveness (red, lower right quadrant) declined for the fourth consecutive year before growth began in 2012. In this respect, since participation and attendance are measured from the perspective of market share, it can be seen that the increase in the US population has a noticeable effect.
The graph above shows the economic activities of art and cultural organizations during 2015 in the non-profit art and cultural industry. Positive results for this activity are expressed as indicators, showing impressive results. The non-profit art and cultural industry generated $63.8 billion in artistic and cultural organizations and $166.3 billion in economic activity, an additional expenditure related to events for audiences, during 2015.
Using these data, I would like to create a data visualization that can compare and analyze the amount of money going into the art and culture business and the profits from it. The national art industry needs a list of fields and budget and revenue data for each art field every year for visualization.