The Ultimate Guide to Data Visualization: When and How to Use Each Chart Type

??. ?????? ??????????

Best for: Comparing categories side by side (e.g., sales by product category).

????????????????????: Category (e.g., Product, Region).

????????????????: Values (e.g., Sales, Profit).

??. ?????????????? ?????? ??????????

Best for: Showing the composition of different categories within a whole.

????????????????????: Primary category and sub-category (e.g., Region and Product Type).

????????????????: Values (e.g., Sales, Quantity).

??. ???????? ??????????

Best for: Visualizing trends over time.

Dimensions: Time-related (e.g., Month, Year).

Measures: Any value that changes over time (e.g., Sales, Revenue).

??. ??????????????????

Best for: Displaying data distribution (e.g., age distribution of customers).

????????????????????: None (uses bins).

????????????????: Numerical value (e.g., Age, Income).

??. ?????? ??????????

Best for: Showing parts of a whole for up to a few categories.

????????????????????: Categorical (e.g., Product Type).

Measures: Aggregated total (e.g., Sales percentage by product).

??. ?????????????? ????????

Best for: Showing relationships between two numerical variables.

????????????????????: Categorical for data grouping (e.g., Region).

????????????????: Two related measures (e.g., Profit and Sales).

??. ??????

Best for: Displaying data geographically.

????????????????????: Geographical (e.g., Country, State).

Measures: Metrics for regions (e.g., Population, Sales).

??. ???????? ??????

Best for: Highlighting intensity or frequency of values across two dimensions.

????????????????????: Two dimensions, like time and product (e.g., Month and Product Type).

????????????????: Values that indicate intensity (e.g., Sales volume).

??. ???????????? ??????????

Best for: Comparing values across categories using bubble sizes.

????????????????????: Category (e.g., Product or Region).

????????????????: One or two metrics, with one controlling bubble size (e.g., Sales for size, Profit for color).

????. ??????-??????-?????????????? ????????

Best for: Showing data distribution, outliers, and quartiles.

????????????????????: Categorical (e.g., Product or Region).

????????????????: Continuous value (e.g., Sales, Age).

????. ???????? ??????

Best for: Visualizing hierarchical data and comparing proportions within a category, especially when space is limited.

How it Works: The chart uses nested rectangles where each segment’s size reflects the measure’s value, helping you see how parts contribute to the whole.

????????????????????: Categorical (e.g., Product Type, Region).

????????????????: Value to compare (e.g., Sales, Profit).