Fixup table (#2)

Author: rhshadrach

web/pandas/pdeps/0014-string-dtype.md

@@ -215,16 +215,16 @@ and NaN semantics.
 Overview of the different ways to specify a dtype and the resulting concrete
 dtype of the data:
 
-| User specification                     | Concrete dtype                                    | String alias            | Note |
-|----------------------------------------|---------------------------------------------------|-------------------------|------|
-| Unspecified (inference)                | `StringDtype(storage="pyarrow"|"python", na_value=np.nan)` | "string"                | (1)  |
-| `StringDtype()` or `"string"`              | `StringDtype(storage="pyarrow"|"python", na_value=np.nan)` | "string"                | (1), (2)  |
-| `StringDtype("pyarrow")`                 | `StringDtype(storage="pyarrow", na_value=np.nan)`           | "string"                | (2)     |
-| `StringDtype("python")`                  | `StringDtype(storage="python", na_value=np.nan)`            | "string"                | (2)     |
-| `StringDtype("pyarrow", na_value=pd.NA)` | `StringDtype(storage="pyarrow", na_value=pd.NA)`            | "string[pyarrow]"       |      |
-| `StringDtype("python", na_value=pd.NA)`  | `StringDtype(storage="python", na_value=pd.NA)`            | "string[python]"        |      |
-| `StringDtype(na_value=pd.NA)`            | `StringDtype(storage="pyarrow"|"python", na_value=pd.NA)` | "string[pyarrow]" or "string[python]" | (1)  |
-| `StringDtype("pyarrow_numpy")`           | `StringDtype(storage="pyarrow", na_value=np.nan)`           | "string[pyarrow_numpy]" | (3)  |
+| User specification                       | Concrete dtype                                                | String alias                          | Note     |
+|------------------------------------------|---------------------------------------------------------------|---------------------------------------|----------|
+| Unspecified (inference)                  | `StringDtype(storage="pyarrow"\|"python", na_value=np.nan)`   | "string"                              | (1)      |
+| `StringDtype()` or `"string"`            | `StringDtype(storage="pyarrow" \| "python", na_value=np.nan)` | "string"                              | (1), (2) |
+| `StringDtype("pyarrow")`                 | `StringDtype(storage="pyarrow", na_value=np.nan)`             | "string"                              | (2)      |
+| `StringDtype("python")`                  | `StringDtype(storage="python", na_value=np.nan)`              | "string"                              | (2)      |
+| `StringDtype("pyarrow", na_value=pd.NA)` | `StringDtype(storage="pyarrow", na_value=pd.NA)`              | "string[pyarrow]"                     |          |
+| `StringDtype("python", na_value=pd.NA)`  | `StringDtype(storage="python", na_value=pd.NA)`               | "string[python]"                      |          |
+| `StringDtype(na_value=pd.NA)`            | `StringDtype(storage="pyarrow" \| "python", na_value=pd.NA)`  | "string[pyarrow]" or "string[python]" | (1)      |
+| `StringDtype("pyarrow_numpy")`           | `StringDtype(storage="pyarrow", na_value=np.nan)`             | "string[pyarrow_numpy]"               | (3)      |
 
 Notes: