add summary of statistics collected

README.md

@@ -91,6 +91,13 @@ with session.logger(dataset_name="my_dataset") as logger:
     #images
     logger.log_images("path/to/image.png")
 ```
+whyLogs collects approximate statistics and sketches of data on a column-basis into a statistical profile. These metrics include:
+
+- Simple counters: boolean, null values, data types.
+- Summary statistics: sum, min, max, variance.
+- Unique value counter or cardinality: tracks an approximate unique value of your feature using HyperLogLog algorithm.
+- Histograms for numerical features. whyLogs binary output can be queried to with dynamic binning based on the shape of your data.
+- Top frequent items (default is 128). Note that this configuration affects the memory footprint, especially for text features.
 
 Check the examples below for visualization and other use cases