adding new issue

HISTORY.md

@@ -2,13 +2,14 @@
 
 ## 1.3.0 - 2023-08-14
 
-This release adds two new methods to the `MultiTableMetadata`: `detect_from_csvs` and `detect_From_dataframes`. These methods allow you to detect metadata for a whole dataset at once by either loading them from a folder or a dictionary mapping table names to the `pandas.DataFrames`. It also improves the visualization of multi-table metadata by adding the `summarized` option to the `show_table_details` parameter. This will print each sdtype in the table and the number of columns that have that sdtype.
+This release adds two new methods to the `MultiTableMetadata`: `detect_from_csvs` and `detect_From_dataframes`. These methods allow you to detect metadata for a whole dataset at once by either loading them from a folder or a dictionary mapping table names to the `pandas.DataFrames`. The `SingleTableMetadata` can now be visualized! Additionally, there is now a `summarized` option in the `show_table_details` parameter of the `visualize` methods. This will print each sdtype in the table and the number of columns that have that sdtype.
 
 Additionally, this release patches a bug that prevented custom constraints from working on columns that were primary or alternate keys. It also adds support for Python 3.11!
 
 ### New Features
 
 * Align default transformers between SDV and RDT - Issue [#1484](https://github.com/sdv-dev/SDV/issues/1484) by @R-Palazzo
+* Add visualize method to SingleTableMetadata - Issue [#1517](https://github.com/sdv-dev/SDV/issues/1517) by @pvk-developer
 * Add detect_from_csvs and detect_from_dataframes methods to MultiTableMetadata - Issue [#1520](https://github.com/sdv-dev/SDV/issues/1520) by @R-Palazzo
 * Allow empty tables to be fitted using fit_processed_data - Issue [#1524](https://github.com/sdv-dev/SDV/issues/1524) by @fealho
 * Summarized metadata visualization - Issue [#1525](https://github.com/sdv-dev/SDV/issues/1525) by @pvk-developer