What types of data can be used to create charts?

ChartGirl.com supports a variety of data types that can be utilized for creating dynamic and informative charts. Typically, both qualitative and quantitative data can be represented effectively. Qualitative data refers to categorical information, such as names or classifications, which can include survey responses or demographic categories. This type of data is often used in bar charts or pie charts to illustrate proportions or distributions within categories. On the other hand, quantitative data consists of measurable numbers, like prices, sales figures, or temperature readings. This type of data is suitable for line charts, scatter plots, and histograms, which can reveal trends, patterns, and relationships over time or among different variables. Additionally, ChartGirl.com can incorporate time series data, which traces the values of a variable over specific intervals. Utilizing this type of data is beneficial for displaying how something changes over time. For specific features or data types supported by the platform, it may be helpful to explore the relevant sections of the website.