mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2025-09-14 20:07:24 +00:00
56 lines
1.2 KiB
Plaintext
56 lines
1.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "994f67e0-ce39-492f-bb9a-088f7885c1d6",
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns\n",
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"\n",
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"# Load dataset\n",
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"df = pd.read_csv('data.csv')\n",
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"\n",
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"# Display first few rows of the dataset\n",
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"df.head()\n",
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"\n",
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"# Summary statistics\n",
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"df.describe()\n",
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"\n",
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"# Data visualization\n",
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"plt.figure(figsize=(10, 6))\n",
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"sns.histplot(df['column_name'], bins=30, kde=True)\n",
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"plt.title('Distribution of Column Name')\n",
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"plt.xlabel('Column Name')\n",
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"plt.ylabel('Frequency')\n",
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"plt.show()\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.1"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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