<jupyter_start><jupyter_text>05. Script to merge all coded levels- Prereq: All steps before 05 should be done.- Input: `main_standardized.csv` and all `check_[org].csv` files.- Output: `all_accounts.csv`  Settings:1. Path to working data directory should be set in `config.ini`: `[data][scratch]`  Reading in configuation and settings<jupyter_code>from levels_merge import *
params = configparser.ConfigParser()
params.read('config.ini')<jupyter_output><empty_output><jupyter_text>Merging all the labeled accounts<jupyter_code>df = merge_data(path = params['data']['scratch'])<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12046204620462046, 'fraction_numerical': 0.00825082508250825, 'mean_word_length': 7.549295774647887, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 9, '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': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '416238', 'license': 'MIT', 'n_tokens_mistral': 199, 'n_tokens_neox': 193, 'n_words': 51, 'path': 'scripts/05_levels_merge.ipynb', 'repo_name': 'Ale-marques/componMultilayer', 'size': '606'}