Addressing Data Missingness

Data missingness can skew analysis and representation. Learn strategies to address this issue and improve data quality.

Understanding Data Missingness

Data missingness refers to the absence of data points, which can lead to biased conclusions and misrepresentation of communities.

Strategies for Improvement

Implementing robust data collection methods can help mitigate missingness and enhance the overall quality of data.