Automated Exploratory Data Analysis and Dataset Profiling
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Documentation for package ‘dataProfilerR’ version 0.2.1
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| analyze_dates | Profile date / datetime columns |
| analyze_missing | Analyse missing values |
| categorical_association | Categorical association (Cramer's V) |
| compare_groups | Compare numeric columns across groups |
| correlation_analysis | Correlation analysis |
| data_quality_score | Data quality score |
| detect_outliers | Detect outliers in a numeric vector |
| infer_column_types | Infer a semantic type for each column |
| is_data_profile | Is an object a data_profile? |
| kurtosis | Sample excess kurtosis |
| normality_tests | Normality tests for numeric columns |
| outlier_summary | Outlier summary across numeric columns |
| plot.data_profile | Plot a data profile |
| plot_association | Categorical association heatmap |
| plot_boxplots | Boxplots for numeric columns |
| plot_correlation | Correlation heatmap |
| plot_distribution | Distribution plot for a single column |
| plot_missing | Missing-value heatmap |
| plot_pairs | Pairwise scatterplot matrix |
| print.data_profile | Print a concise overview of a data profile |
| profile_data | Profile a data frame |
| report | Render a profile to a self-contained HTML report |
| skewness | Sample skewness |
| summarize_columns | Summary statistics by column type |
| summary.data_profile | Detailed summary of a data profile |