Conformance Rules - Tooltips

## Background
Conformance Rules can be difficult to understand.

## Feature
We can add tooltips to the rules which provide a concise explanation.

## Proposed Solution [Optional]

Conformance Rules | ToolTips
-- | --
CastingConformanceRule | Conversion of one input data type to another output data type.
ConcatenationConformanceRule | Combine data contents from two or more input columns together in one output column.
DropConformanceRule | Drop (or remove) a column from the input dataset so that it doesn't appear in the output.
LiteralConformanceRule | Place a literal value in a specified output column.
MappingConformanceRule | Lookup and join values from input and output columns to target columns.
NegationConformanceRule | Convert numeric values from positive to negative, and vice versa.
SingleColumnConformanceRule | Place a value from an input column in a struct, where the output column contains the name of the input field as an alias.
SparkSessionConformanceRule | Extract values from the spark session conf_info file for use in the dataset (e.g. version).
UppercaseConformanceRule | Transform input text values to uppercase.