<jupyter_start><jupyter_text>Seaborn Visualization Library Introduction and InstallationMandatory DependenciesNumpyScipyPandasMatplotlibStatsmodels (recommended not mandatory) Installation and SetupConda or pip environments can be used to install Seaborn Librarypip install seabornconda install -c conda-forge seabornyou can install the whole Anaconda package [here](https://www.anaconda.com/products/individual)<jupyter_code># Importing the library
import seaborn as sns
# Checking the seaborn version installed
sns.__version__<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.05017921146953405, 'fraction_numerical': 0.0, 'mean_word_length': 8.474576271186441, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 1, 'lorem ipsum': 0, 'www.': 1, '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': '502023', 'license': 'MIT', 'n_tokens_mistral': 166, 'n_tokens_neox': 158, 'n_words': 49, 'path': 'Seaborn Visualization Library/1) IntroducingSeaborn.ipynb', 'repo_name': 'Douglas254/Python-Machine-Learning-Data-Science-', 'size': '558'}