What is a benefit of building basic visuals early on in data analysis?

Building basic visuals early on in data analysis plays a crucial role in identifying data issues right from the start. Visualizations, such as simple charts or graphs, can reveal patterns, trends, and anomalies within the data. By visually representing the data, analysts can quickly spot inconsistencies, missing values, or unexpected distributions that may not be immediately apparent through raw data analysis.

Identifying these data issues early allows analysts to address them before further analysis, saving time and resources in the long run and ensuring that subsequent insights drawn from the data are based on accurate and reliable information. This proactive approach helps in maintaining the integrity and quality of the analysis, ultimately leading to more trustworthy outcomes.

The other options do not accurately reflect the advantages of early visualizations. Basic visuals do not automatically offer detailed insights nor do they exclude outliers; instead, they can highlight the presence of such outliers for further investigation. Additionally, while they may require less complex data preparation compared to more intricate analyses, the primary benefit lies in their ability to surface data issues in a timely manner.