Binary Classification (sonujha090/bank-marketing)   [more]
Size: 541.2 KB Source: Kaggle Last updated: 2021-09-30 23:30
The data quality assessment assesses the quality of the input data and prioritizes mitigation steps based on analytical impact and ease of implementation
The data import summary describes how Inspirient processed the submitted dataset ‘bank-marketing’. The summary also provides insight into data quality issues, the contexts that were inferred, and if any enrichments were generated from the input data.
The top-priority dimension analysis for ‘duration’ provides an in-depth analysis of the input column ‘duration’ in dataset ‘bank-marketing’. The report contains insights into the statistical properties of the values in the column and highlights related patterns of potential relevance.
The relations summary report summarizes the relations between the dimensions.
The anomaly summary provides an overview of the most relevant anomalies in the submitted dataset ‘bank-marketing’. The summary consists of four types of anomalies, i.e., business irregularities, data inconsistencies, deviations from a pattern and column outliers.
The top insights report presents the 30 most relevant insights automatically selected by Inspirient. The insights were chosen because they have a high dimension priority and highlight a relevant pattern.
The quick introduction provides a quick view into the dataset automatically analyzed by Inspirient.
Analyst-2 explores entire data repositories and data lakes, autonomously analyzing each dataset using the Inspirient Automated Analytics Engine.
If you would like Analyst-2 to surface insights in your company's data repository or data lake, please get in touch!
These analysis results by Inspirient GmbH are licensed under a Creative Commons Attribution 4.0 International License in conjunction with the licence of the source dataset.