add utils function for grabbing primitive metrics

[ozzieD]

• fixes: Add helper function to summarized primitive as dataframe #2051
• Adds summarize_primitives function which provides a pandas DataFrame of metrics about currently available primitives.

[codecov]

Codecov Report

Merging #2099 (0951508) into main (210741d) will increase coverage by 0.00%.
The diff coverage is 100.00%.

@@           Coverage Diff            @@
##             main    #2099    +/-   ##
========================================
  Coverage   99.21%   99.21%            
========================================
  Files         143      143            
  Lines       16728    16833   +105     
========================================
+ Hits        16596    16701   +105     
  Misses        132      132            

Impacted Files	Coverage Δ
featuretools/primitives/api.py	100.00% <ø> (ø)
featuretools/__init__.py	73.33% <100.00%> (ø)
featuretools/primitives/base/primitive_base.py	100.00% <100.00%> (ø)
featuretools/primitives/utils.py	99.60% <100.00%> (+0.10%)	⬆️
...ools/tests/primitive_tests/test_primitive_utils.py	100.00% <100.00%> (ø)

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[dvreed77]

just taking a quick pass, will look more later

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[rwedge]

Should we modify how we present info on categorical / numeric primitives? Many primitives only look for the "category" tag or the "numeric" tag, not the "Categorical" logical type or a specific numeric logical type

[ozzieD]

Should we modify how we present info on categorical / numeric primitives? Many primitives only look for the "category" tag or the "numeric" tag, not the "Categorical" logical type or a specific numeric logical type

hmm I think we are only providing metrics for how many times these logical types get used as inputs. We could do it for the semantic tags as well but I think when we discussed this issue originally we only wanted to get the metrics for logical type inputs. @gsheni what do you think?

[gsheni]

@ozzieD if it's an easy lift, let's provide information on semantic tag usage.