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Data Journal part 3

Bad Data Visualizations Journal

No.1 Bad Data

Slide7.JPG

The graph shown in slide 7 seems to have some errors. First of all, to compare the two graphs, it would be easy to see the difference at a glance if the two graphs were combined into one graph. Second, there is no explanation of the numerical value of the y-line, so the information on the numerical value is unclear. In addition, figures for all years are marked to decimal points, making it feel messy.

No.2 Bad Data

Slide9.JPG

The graph shown in slide 9 seems to have lost a lot of information. Accurate information cannot be obtained because the figures represented by the graph are not numeric. In addition, both the y and x axes have no information. Therefore, the criteria by which the graph appears are unknown. The meaning of the alphabet up to A-J on the x-axis and what the numbers on the y-axis are about are unknown. The three colors of each graph also do not show meaning.

No.3 Bad Data

Slide18.JPG

The graph shown in slide 18 does not omit much information, but for a better graph, I would suggest to display the numbers represented by each graph bar. It does not mean everything, and a faster comparative analysis would be possible if the highest and lowest numbers were displayed.

No.4 Bad Data

Slide32.JPG

The graph shown in slide 32 seems to be not problematic overall, but if the numbers represented by each of the states shown were displayed, information would be more convenient. And for comparative analysis from 2000 to 2010, I think it is necessary to show both the 2000 and 2010 figures. I don't think the distribution chart is suitable for this type of information analysis.

No.5 Bad Data

Slide30.JPG

The table shown in slide 30 shows numbers distributed without rules. Colors are also looking dizzy, making it difficult to read information quickly. To graph this information, it is better to use a circular graph or a bar graph rather than a chart table. This table is very difficult to compare states. In addition, the gradation distribution of colors is too constant. If you want to use the chart, you have to give a clear difference in color brightness or saturation. The higher the number, the more likely it is to be marked in green, but there is little difference. It would be easier to see the difference more clearly.

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