Data Interpretation is an important part of the Quantitative Aptitude section in many competitive exams. It tests the ability ...

If the data type is numeric, box-and-whisker plots and line charts are good options to visualize those numeric variables. 3. Less is more in data visualization.

Graphs are a useful way to show numerical data. There are a variety of graphs that can help highlight patterns and be used to reach conclusions. Choosing the right graph is very important. A line ...

Stacked bar chart filling up to 100%. Sometimes, you’ll want to compare your data to a total, be it a whole number or simply a 100% value. Stacked bars that appear to be ‘filling up’ to 100% ...

Bar charts represent data using length. This means that if the bars don’t begin at zero, comparisons between bar lengths will distort the data — and a reader’s comprehension of the numbers.

Racing bar charts can be a useful way to visualize comparative data over time. There are a number of ways to create them in R, including combining ggplot with gganimate or using echarts4r.But the ...

To quantify the amount of data distortion she often saw in published bar charts, Markita Landry, a nanobiotechnology researcher at the University of California, Berkeley, and her colleague Teng ...

Graphs are a useful way to show numerical data. There are a variety of graphs that can help highlight patterns and be used to reach conclusions in geography. Choosing the right graph is very ...