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Merge pull request #374 from thyneb19/Capstone
Adding in General Database Executor and Code Exporting
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| Gallery of Notebook Examples | ||
| ============================== | ||
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| Demo Examples | ||
| ------------------ | ||
| The following notebooks demonstrates how Lux can be used with a variety of different datasets and analysis | ||
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| - Basic walkthrough of Lux with the Cars dataset [`Source <https://github.com/lux-org/lux-binder/blob/master/demo/cars_demo.ipynb>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/demo/cars_demo.ipynb>`_] | ||
| - Basic walkthrough of Lux with the College dataset [`Source <https://github.com/lux-org/lux-binder/blob/master/demo/college_demo.ipynb>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/demo/college_demo.ipynb>`_] | ||
| - Understanding Global COVID-19 intervention levels [`Source <https://github.com/lux-org/lux-binder/blob/master/demo/hpi_covid_demo.ipynb>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/demo/hpi_covid_demo.ipynb>`_] | ||
| - Understanding factors leading to Employee attrition [`Source <https://github.com/lux-org/lux-binder/blob/master/demo/employee_demo.ipynb>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/demo/employee_demo.ipynb>`_] | ||
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| If you would like to try out Lux on your own, we provide a `notebook environment <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/demo/exercise/4-Data-Playground.ipynb>`_ for you to play around with several provided example datasets. | ||
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| Tutorials | ||
| --------- | ||
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| The following tutorials cover the most basic to advanced features in Lux. The first five tutorials introduces the core features in Lux: | ||
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| - Overview of Features in Lux [`Source <https://github.com/lux-org/lux-binder/blob/master/tutorial/0-overview.ipynb>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/tutorial/0-overview.ipynb>`_] | ||
| - Specifying user analysis intent in Lux [`Source <https://github.com/lux-org/lux-binder/blob/master/tutorial/1-specifying-intent.ipynb>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/tutorial/1-specifying-intent.ipynb>`_] | ||
| - Creating quick-and-dirty visualizations with :code:`Vis` and :code:`VisList` [`Source <https://github.com/lux-org/lux-binder/blob/master/tutorial/2-constructing-vis-and-vislist.ipynb>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/tutorial/2-constructing-vis-and-vislist.ipynb>`_] | ||
| - Seamless export of :code:`Vis` from notebook to downstream tasks [`Source <https://github.com/lux-org/lux-binder/blob/master/tutorial/3-widget-vis-export.ipynb>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/tutorial/3-widget-vis-export.ipynb>`_] | ||
| - Customizing plot styling with :code:`lux.config.plotting_style` [`Source <https://github.com/lux-org/lux-binder/blob/master/tutorial/4-chart-settings.ipynb>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/tutorial/4-chart-settings.ipynb>`_] | ||
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| The following notebooks covers more advanced topics in Lux: | ||
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| - Understanding data types in Lux [`Source <https://github.com/lux-org/lux-binder/blob/master/tutorial/9-datatype.ipynb?>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/tutorial/9-datatype.ipynb?raw=true>`_] | ||
| - Working with datetime columns [`Source <https://github.com/lux-org/lux-binder/blob/master/tutorial/tutorial/5-datetime.ipynb>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/tutorial/5-datetime.ipynb>`_] | ||
| - Working with geographic columns [`ReadTheDocs <https://lux-api.readthedocs.io/en/latest/source/advanced/map.html>`_] | ||
| - Working with dataframe indexes [`Source <https://github.com/lux-org/lux-binder/blob/master/tutorial/tutorial/6-index-group.ipynb>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/tutorial/6-index-group.ipynb>`_] | ||
| - Registering custom recommendation actions [`Source <https://github.com/lux-org/lux-binder/blob/master/tutorial/8-custom-action.ipynb>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/tutorial/8-custom-action.ipynb>`_] | ||
| - Using Lux with a SQL Database [`Source <https://github.com/lux-org/lux-binder-sql/blob/master/notebooks/Using%20Lux%20with%20SQL%20Databases.ipynb>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder-sql/HEAD>`_] | ||
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| Exercise | ||
| --------- | ||
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| Here are some teaching resources on Lux. The materials are suited for a 1-1.5 hour industry bootcamp or lecture for a data visualization or data science course. Here is a `video <https://www.youtube.com/watch?v=YANIids_Nkk>`_ that walks through these hands-on exercise on Lux. To follow along, check out the instructions `here <https://github.com/lux-org/lux-binder>`_. | ||
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| 1. How to specify your analysis interests as `intents` in Lux? [`Source <https://github.com/lux-org/lux-binder/blob/master/exercise/1-Specify-Intent.ipynb>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/exercise/1-Specify-Intent.ipynb>`_] | ||
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| 2. How to create visualizations using :code:`Vis` and :code:`VisList`? [`Source <https://github.com/lux-org/lux-binder/blob/master/exercise/2-Quick-Vis.ipynb>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/exercise/2-Quick-Vis.ipynb>`_] | ||
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| 3. How to export selected visualization(s) out of the notebook for sharing? [`Source <https://github.com/lux-org/lux-binder/blob/master/exercise/3-Export-Widget.ipynb>`_] [`Live Notebook <https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/exercise/3-Export-Widget.ipynb>`_] | ||
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| Here are the `solutions <https://github.com/lux-org/lux-binder/blob/master/exercise/solution.txt>`_ to the notebook exercises. | ||
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| Community Contributions | ||
| ------------------------- | ||
| Here are some awesome articles and tutorials written by the Lux community: | ||
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| - `Exploring the Penguins dataset with Lux by Parul Pandey <https://towardsdatascience.com/intelligent-visual-data-discovery-with-lux-a-python-library-dc36a5742b2f>`_ | ||
| - `Analysis of the Wine dataset by Domino Data Lab <https://blog.dominodatalab.com/faster-data-exploration-in-jupyter-through-the-lux-widget/>`_ | ||
| - `Quick Recommendation-Based Data Exploration with Lux by Cornellius Yudha Wijaya <https://towardsdatascience.com/quick-recommendation-based-data-exploration-with-lux-f4d0ccb68133>`_ | ||
| - `Analyzing the Graduate Admissions dataset with Lux by Pranavi Duvva <https://pub.towardsai.net/speed-up-eda-with-the-intelligent-lux-37f96542527b>`_ | ||
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| If you would like your notebook or articles to be featured here, please submit a pull request `here <https://github.com/lux-org/lux-binder>`_ to let us know! |
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| Original file line number | Diff line number | Diff line change |
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| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "markdown", | ||
| "id": "expected-facility", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "This notebook is an example of how to use the General Database Executor in Lux. This execution backend allows users to switch what kind of queries are being used to query their database system. Here we show how to switch from using a SQL template for Postgresql to MySQL." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 1, | ||
| "id": "helpful-liberty", | ||
| "metadata": {}, | ||
| "outputs": [ | ||
| { | ||
| "data": { | ||
| "application/vnd.jupyter.widget-view+json": { | ||
| "model_id": "97a93a0b783743fab041362d66d72125", | ||
| "version_major": 2, | ||
| "version_minor": 0 | ||
| }, | ||
| "text/plain": [ | ||
| "Button(description='Toggle Table/Lux', layout=Layout(bottom='6px', top='6px', width='200px'), style=ButtonStyl…" | ||
| ] | ||
| }, | ||
| "metadata": {}, | ||
| "output_type": "display_data" | ||
| }, | ||
| { | ||
| "data": { | ||
| "application/vnd.jupyter.widget-view+json": { | ||
| "model_id": "e216a8adf9584b6e8a3cc5374ae73209", | ||
| "version_major": 2, | ||
| "version_minor": 0 | ||
| }, | ||
| "text/plain": [ | ||
| "Output()" | ||
| ] | ||
| }, | ||
| "metadata": {}, | ||
| "output_type": "display_data" | ||
| } | ||
| ], | ||
| "source": [ | ||
| "import sys\n", | ||
| "sys.path.insert(1, 'C:\\\\Users\\\\thyne\\\\Documents\\\\GitHub\\\\lux')\n", | ||
| "\n", | ||
| "import lux\n", | ||
| "import psycopg2\n", | ||
| "import pandas as pd\n", | ||
| "from lux import LuxSQLTable\n", | ||
| "\n", | ||
| "connection = psycopg2.connect(\"host=localhost user=postgres password=lux dbname=postgres\")\n", | ||
| "lux.config.set_SQL_connection(connection)\n", | ||
| "lux.config.read_query_template(\"postgres_query_template.txt\")\n", | ||
| "lux.config.quoted_queries = True\n", | ||
| "\n", | ||
| "sql_tbl = LuxSQLTable(table_name='car')\n", | ||
| "sql_tbl.intent = [\"Cylinders\"]\n", | ||
| "sql_tbl" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 2, | ||
| "id": "searching-nancy", | ||
| "metadata": {}, | ||
| "outputs": [ | ||
| { | ||
| "data": { | ||
| "application/vnd.jupyter.widget-view+json": { | ||
| "model_id": "a2c12d8447494178aa6c38fc0a4c59f6", | ||
| "version_major": 2, | ||
| "version_minor": 0 | ||
| }, | ||
| "text/plain": [ | ||
| "Button(description='Toggle Table/Lux', layout=Layout(bottom='6px', top='6px', width='200px'), style=ButtonStyl…" | ||
| ] | ||
| }, | ||
| "metadata": {}, | ||
| "output_type": "display_data" | ||
| }, | ||
| { | ||
| "data": { | ||
| "application/vnd.jupyter.widget-view+json": { | ||
| "model_id": "26b23f594155417e9fb7ff2b4695477c", | ||
| "version_major": 2, | ||
| "version_minor": 0 | ||
| }, | ||
| "text/plain": [ | ||
| "Output()" | ||
| ] | ||
| }, | ||
| "metadata": {}, | ||
| "output_type": "display_data" | ||
| } | ||
| ], | ||
| "source": [ | ||
| "import sqlalchemy\n", | ||
| "import lux\n", | ||
| "from sqlalchemy.ext.declarative import declarative_base\n", | ||
| "\n", | ||
| "engine = sqlalchemy.create_engine('mysql+mysqlconnector://luxuser:lux@localhost:3306/sys',echo=False)\n", | ||
| "lux.config.set_SQL_connection(engine)\n", | ||
| "lux.config.read_query_template(\"mysql_query_template.txt\")\n", | ||
| "lux.config.quoted_queries = False\n", | ||
| "\n", | ||
| "sql_df = lux.LuxSQLTable(table_name='car')\n", | ||
| "\n", | ||
| "sql_df.intent = ['Cylinders']\n", | ||
| "sql_df" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3", | ||
| "language": "python", | ||
| "name": "python3" | ||
| }, | ||
| "language_info": { | ||
| "codemirror_mode": { | ||
| "name": "ipython", | ||
| "version": 3 | ||
| }, | ||
| "file_extension": ".py", | ||
| "mimetype": "text/x-python", | ||
| "name": "python", | ||
| "nbconvert_exporter": "python", | ||
| "pygments_lexer": "ipython3", | ||
| "version": "3.9.1" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 5 | ||
| } |
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