<jupyter_start><jupyter_text>Get Dataset For this analysis, we just need the electricity consumption of a single sensor in minute resolution<jupyter_code>df = datasets.get('elec_power_min_1sensor')<jupyter_output><empty_output><jupyter_text>Run Analysis<jupyter_code>result = standby(df, resolution='h')<jupyter_output><empty_output><jupyter_text>Plot Result<jupyter_code>%matplotlib inline
import matplotlib.pyplot as plt
import matplotlib
plt.rcParams['figure.figsize'] = 20,8
matplotlib.style.use('ggplot')
result.plot()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.10669077757685352, 'fraction_numerical': 0.007233273056057866, 'mean_word_length': 11.590909090909092, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, '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': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '30780', 'license': 'Apache-2.0', 'n_tokens_mistral': 196, 'n_tokens_neox': 193, 'n_words': 34, 'path': 'opengrid_dev/notebooks/Demo/Standby.ipynb', 'repo_name': 'opengridcc/opengrid_dev', 'size': '553'}