InsightHub, a BI platform, is reviewing whether analysts choose appropriate visualizations for categorical versus numeric data. The analytics lead wants a simple statistical check on whether chart misuse is associated with data type.
You are given counts from 200 recently published dashboards. Each chart was labeled by the primary data type it visualized and whether the chart choice was appropriate. Determine whether visualization appropriateness differs between qualitative data (categorical labels such as region, device type, plan tier) and quantitative data (numeric measures such as revenue, latency, or order value).
Also explain, in plain language, the conceptual difference between qualitative visualizations and quantitative visualizations, and identify which chart types are typically suitable for each.
| Data Type | Appropriate Chart | Inappropriate Chart | Total |
|---|---|---|---|
| Qualitative | 78 | 22 | 100 |
| Quantitative | 91 | 9 | 100 |
| Total | 169 | 31 | 200 |
Examples used in the audit:
Use a significance level of 0.05.