Concept Flow - Bar and histogram plots
Prepare Data
Choose Plot Type
Bar Plot
Call bar()
Display Plot
Analyze Visual Output
Start with data, pick bar or histogram plot, call the right function, then see the visual output.
x = [5, 10, 15]; bar(x) data = randn(1000,1); histogram(data)
| Step | Action | Input Data | Function Called | Plot Type | Output Description |
|---|---|---|---|---|---|
| 1 | Prepare data for bar plot | [5, 10, 15] | None | None | Data array ready |
| 2 | Call bar() | [5, 10, 15] | bar(x) | Bar plot | Bars at heights 5, 10, 15 displayed |
| 3 | Prepare data for histogram | 1000 random normal values | None | None | Random data generated |
| 4 | Call histogram() | random data | histogram(data) | Histogram plot | Histogram showing data distribution displayed |
| 5 | End of plotting | N/A | N/A | N/A | Plots shown on figure window |
| Variable | Start | After Step 1 | After Step 3 | Final |
|---|---|---|---|---|
| x | undefined | [5, 10, 15] | [5, 10, 15] | [5, 10, 15] |
| data | undefined | undefined | 1000 random values | 1000 random values |
Bar and histogram plots in MATLAB: - Use bar(x) to plot bars with heights from vector x. - Use histogram(data) to plot data distribution. - Bar plots show exact values; histograms group data into bins. - Both display in figure windows automatically. - Customize bins in histogram() if needed.