<jupyter_start><jupyter_text>Data Loader<jupyter_code>from data_describe.misc.load_data import load_data<jupyter_output><empty_output><jupyter_text>Shapefiles<jupyter_code>shapefile_local = load_data(filepath='../data/geo/tl_2018_us_county.shp')
shapefile_local.head(2)<jupyter_output><empty_output><jupyter_text>Local directory (text)<jupyter_code>local_dir = load_data(filepath='../data/Addresses/', encoding='latin1')
local_dir.head(2)<jupyter_output><empty_output><jupyter_text>CSV<jupyter_code>local_csv = load_data(filepath='../data/weatherAUS.csv')
local_csv.head(2)<jupyter_output><empty_output><jupyter_text>Excel<jupyter_code>local_excel = load_data("../data/Financial Sample.xlsx")
local_excel.head()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.14304993252361672, 'fraction_numerical': 0.010796221322537112, 'mean_word_length': 14.458333333333334, 'pattern_counts': {'":': 0, '<': 21, '<?xml version=': 0, '>': 21, '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': '5', 'dir': 'jupyter-structured-clean-dedup', 'id': '25956', 'license': 'Apache-2.0', 'n_tokens_mistral': 313, 'n_tokens_neox': 294, 'n_words': 17, 'path': 'docs/source/examples/data_loader.ipynb', 'repo_name': 'truongc2/data-describe', 'size': '741'}