<jupyter_start><jupyter_text><jupyter_code>import pandas as pd # ทำงานกับข้อมูลลักษณะ ตาราง
from google.colab import drive # เชื่อม google drive
drive.mount('/content/drive')
ls
import os # จัดการไฟล์และ path
path = '/content/drive/My Drive/DWDM2021_DATA'
data = pd.read_csv(os.path.join(path,'thailand_covid-19_testing_data.csv'))
data<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.13387978142076504, 'fraction_numerical': 0.01639344262295082, 'mean_word_length': 7.534883720930233, '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': '393542', 'license': 'MIT', 'n_tokens_mistral': 171, 'n_tokens_neox': 173, 'n_words': 25, 'path': 'Data102_(Chapter2).ipynb', 'repo_name': 'tohnperfect/Attention-Gated-Networks', 'size': '366'}