[Data Tests] Add ability to test your data

**Is your feature request related to a problem? Please describe.**
Part of the model flow is to create and add data validation tests. These may check the sanity of your data, e.g. that certain columns have a specific cardinality (e.g. only 5 different kinds of values), or that a numeric data column has a specific range.

Creating these tests are pretty repetitive.

**Describe the solution you'd like**
Add a Fluent API to validate data structure.

I'm envisioning a syntax such as the following in a new project, e.g. `MLOps.NET.Data.Tests`

```
[TestMethod]
public void VerifyCardinalityOfColumn()
{
var mlOpsTestingContext = new MLOpsTestingContext();

mlOpsTestingContext.WithData(pathToData)
.HasColumn(index, x => x.WithCardinality(3))
.Assert()
}

[TestMethod]
public void VerifyRangeOfColumn()
{
var mlOpsTestingContext = new MLOpsTestingContext();

mlOpsTestingContext.WithData(pathToData)
.HasColumn(index, x => x.WithRange(min: 0, max: 10000)
.Assert()
}

[TestMethod]
public void VerifySchema()
{
var mlOpsTestingContext = new MLOpsTestingContext();

mlOpsTestingContext.WithData(pathToData)
.HasNumberOfColumns(10)
.HasMinimumNumberOfRows(5000)
.Assert()
}

[TestMethod]
public void VerifyColumOnlyContainsApprovedValues()
{
var mlOpsTestingContext = new MLOpsTestingContext();

mlOpsTestingContext.WithData(pathToData)
.HasColumn(index, x => x.WithValues(listOfApprovedValues)
.Assert()
}
```