The list of all the queries

Base table columns with the same name have different types

Query goal: Find base table columns that have the same name but different type. In general, base tables columns that have the same name should have the same type as well.
Notes about the query: In case of the string_agg function, the line break (br) tag is used as a part of the separator for the better readability in case the query result is displayed in a web browser.
Query type: Problem detection (Each row in the result could represent a flaw in the design)
Query reliability: Medium (Medium number of false-positive results)
Query license: MIT License
Fixing suggestion: Change the name of the column or the type of the column to ensure consistency.
Data source: INFORMATION_SCHEMA only
SQL query: Click on query to copy it

WITH data_types AS (SELECT table_schema, table_name, column_name, data_type
FROM INFORMATION_SCHEMA.columns
WHERE (table_schema, table_name) IN (SELECT table_schema, table_name
FROM INFORMATION_SCHEMA.tables WHERE table_type='BASE TABLE') AND 
table_schema NOT IN (SELECT schema_name
FROM INFORMATION_SCHEMA.schemata
WHERE schema_name<>'public' AND
schema_owner='postgres' AND schema_name IS NOT NULL))
SELECT column_name, Count(*) AS number_of_columns, Count(DISTINCT data_type) AS number_of_different_types,
string_agg(table_schema ||'.'|| table_name || ' ' || Upper(data_type),';<br>' ORDER BY data_type, table_schema, table_name) AS types
FROM data_types AS dt
GROUP BY column_name
HAVING Count(DISTINCT data_type)>1
ORDER BY Count(DISTINCT data_type) DESC, Count(*) DESC, column_name;

Collections where the query belongs to

Collection nameCollection description
Find problems about base tablesA selection of queries that return information about the data types, field sizes, default values as well as general structure of base tables. Contains all the types of queries - problem detection, software measure, and general overview
Find problems automaticallyQueries, that results point to problems in the database. Each query in the collection produces an initial assessment. However, a human reviewer has the final say as to whether there is a problem or not .

Categories where the query belongs to

Category nameCategory description
Comfortability of data managementQueries of this category provide information about the means that have been used to make the use or management of database more comfortable and thus, more efficient.
Data typesQueries of this category provide information about the data types and their usage.
InconsistenciesQueries of this catergory provide information about inconsistencies of solving the same problem in different places.
NamingQueries of this category provide information about the style of naming.

Reference materials for further reading

Reference
The corresponding code smell in case of cleaning code is "G11: Inconsistency". (Robert C. Martin, Clean Code)
Smell "Overloaded attribute names": Sharma, T., Fragkoulis, M., Rizou, S., Bruntink, M. and Spinellis, D.: Smelly relations: measuring and understanding database schema quality. In: Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice, pp. 55-64. ACM, (2018).
Factor, P.: SQL Code Smells. Redgate, http://assets.red-gate.com/community/books/sql-code-smells.pdf, last accessed 2019/12/29 (Using the same column name in different tables but with different data types)

The list of all the queries