<jupyter_start><jupyter_text>First we will download some data and insert it into our Postgresql database to play with<jupyter_code>import pandas as pd
import lux
from sqlalchemy import create_engine

data = pd.read_csv('https://raw.githubusercontent.com/lux-org/lux-datasets/master/data/college.csv')
engine = create_engine("postgresql://postgres:lux@localhost:5432")
data.to_sql(name='college', con=engine, if_exists = 'replace', index=False)<jupyter_output><empty_output><jupyter_text>We can now create a new Lux Dataframe and connect it to our Postgresql database<jupyter_code>sql_df = lux.LuxDataFrame()
lux.config.set_SQL_connection(engine)
sql_df.set_SQL_table("college")
sql_df
sql_df.set_intent(["PredominantDegree"])
sql_df<jupyter_output>c:\users\thyne\appdata\local\programs\python\python39\lib\site-packages\IPython\core\formatters.py:345: UserWarning:
Unexpected error in rendering Lux widget and recommendations. Falling back to Pandas display.
Please report the following issue on Github: https://github.com/lux-org/lux/issues 

C:\Users\thyne\Documents\GitHub\lux\lux\core\frame.py:631: UserWarning:Traceback (most recent call last):
  File "c:\users\thyne\appdata\local\programs\python\python39\lib\site-packages\sqlalchemy\engine\base.py", line 1276, in _execute_context
    self.dialect.do_execute(
  File "c:\users\thyne\appdata\local\programs\python\python39\lib\site-packages\sqlalchemy\engine\default.py", line 608, in do_execute
    cursor.execute(statement, parameters)
psycopg2.errors.SyntaxError: syntax error at or near "s"
LINE 1: ...th FROM college WHERE "HighestDegree" = 'Bachelor's' AND "Pr...
                                                             ^


The above exception was the direct cause of the followin[...]
{'fraction_non_alphanumeric': 0.11123787792355962, 'fraction_numerical': 0.01426126640045636, 'mean_word_length': 4.788778877887789, 'pattern_counts': {'":': 0, '<': 8, '<?xml version=': 0, '>': 8, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 3, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '546113', 'license': 'Apache-2.0', 'n_tokens_mistral': 595, 'n_tokens_neox': 556, 'n_words': 124, 'path': 'examples/College_Demo.ipynb', 'repo_name': 'thyneb19/lux', 'size': '1753'}