<jupyter_start><jupyter_text>Extract EDD Employment Dataset<jupyter_code># Install Sodapy to read Socrata 
# pip install sodapy
# Import important libraries
import pandas as pd
from sodapy import Socrata
import requests
# Unauthenticated client only works with public data sets. Note 'None'
client = Socrata("data.edd.ca.gov", None)
# client = Socrata(data.edd.ca.gov,
#                  MyAppToken,
#                  userame=,
#                  password=)
# Read 
results = client.get("e6gw-gvii", limit=26000)
results_df = pd.DataFrame.from_records(results)
results_df
pwd
results_df.to_csv("/Users/ellismok/Desktop/Challenges/covid19-unemployment/employment_dataset.csv")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.09773371104815864, 'fraction_numerical': 0.0113314447592068, 'mean_word_length': 4.160583941605839, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '270045', 'license': 'Apache-2.0', 'n_tokens_mistral': 248, 'n_tokens_neox': 236, 'n_words': 52, 'path': 'Extract/EDD_Employment_Dataset.ipynb', 'repo_name': 'SMK-01/ETL_Project', 'size': '706'}