add code for analysis of data

1 files changed, 161 insertions, 0 deletions

diff --git a/venv/lib/python3.8/site-packages/dash-3.1.1.dist-info/METADATA b/venv/lib/python3.8/site-packages/dash-3.1.1.dist-info/METADATA
new file mode 100644
index 0000000..3a2e7b7
--- /dev/null
+++ b/venv/lib/python3.8/site-packages/dash-3.1.1.dist-info/METADATA
@@ -0,0 +1,161 @@
+Metadata-Version: 2.1
+Name: dash
+Version: 3.1.1
+Summary: A Python framework for building reactive web-apps. Developed by Plotly.
+Home-page: https://plotly.com/dash
+Author: Chris Parmer
+Author-email: chris@plotly.com
+License: MIT
+Project-URL: Documentation, https://dash.plotly.com
+Project-URL: Source, https://github.com/plotly/dash
+Project-URL: Issue Tracker, https://github.com/plotly/dash/issues
+Platform: UNKNOWN
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Environment :: Web Environment
+Classifier: Framework :: Dash
+Classifier: Framework :: Flask
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Education
+Classifier: Intended Audience :: Financial and Insurance Industry
+Classifier: Intended Audience :: Healthcare Industry
+Classifier: Intended Audience :: Manufacturing
+Classifier: Intended Audience :: Science/Research
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Topic :: Database :: Front-Ends
+Classifier: Topic :: Office/Business :: Financial :: Spreadsheet
+Classifier: Topic :: Scientific/Engineering :: Visualization
+Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
+Classifier: Topic :: Software Development :: Widget Sets
+Requires-Python: >=3.8
+Description-Content-Type: text/markdown
+License-File: LICENSE
+Requires-Dist: Flask <3.2,>=1.0.4
+Requires-Dist: Werkzeug <3.2
+Requires-Dist: plotly >=5.0.0
+Requires-Dist: importlib-metadata
+Requires-Dist: typing-extensions >=4.1.1
+Requires-Dist: requests
+Requires-Dist: retrying
+Requires-Dist: nest-asyncio
+Requires-Dist: setuptools
+Provides-Extra: async
+Requires-Dist: flask[async] ; extra == 'async'
+Provides-Extra: celery
+Requires-Dist: redis <=5.0.4,>=3.5.3 ; extra == 'celery'
+Requires-Dist: kombu <5.4.0 ; extra == 'celery'
+Requires-Dist: celery[redis] <5.4.0,>=5.1.2 ; extra == 'celery'
+Provides-Extra: ci
+Requires-Dist: black ==22.3.0 ; extra == 'ci'
+Requires-Dist: flake8 ==7.0.0 ; extra == 'ci'
+Requires-Dist: flaky ==3.8.1 ; extra == 'ci'
+Requires-Dist: flask-talisman ==1.0.0 ; extra == 'ci'
+Requires-Dist: ipython <9.0.0 ; extra == 'ci'
+Requires-Dist: mimesis <=11.1.0 ; extra == 'ci'
+Requires-Dist: mock ==4.0.3 ; extra == 'ci'
+Requires-Dist: numpy <=1.26.3 ; extra == 'ci'
+Requires-Dist: orjson ==3.10.3 ; extra == 'ci'
+Requires-Dist: openpyxl ; extra == 'ci'
+Requires-Dist: pandas >=1.4.0 ; extra == 'ci'
+Requires-Dist: pyarrow ; extra == 'ci'
+Requires-Dist: pylint ==3.0.3 ; extra == 'ci'
+Requires-Dist: pytest-mock ; extra == 'ci'
+Requires-Dist: pytest-sugar ==0.9.6 ; extra == 'ci'
+Requires-Dist: pyzmq ==25.1.2 ; extra == 'ci'
+Requires-Dist: xlrd >=2.0.1 ; extra == 'ci'
+Requires-Dist: pytest-rerunfailures ; extra == 'ci'
+Requires-Dist: jupyterlab <4.0.0 ; extra == 'ci'
+Requires-Dist: mypy ==1.15.0 ; (python_version >= "3.12") and extra == 'ci'
+Requires-Dist: pyright ==1.1.398 ; (python_version >= "3.7") and extra == 'ci'
+Provides-Extra: compress
+Requires-Dist: flask-compress ; extra == 'compress'
+Provides-Extra: dev
+Requires-Dist: coloredlogs >=15.0.1 ; extra == 'dev'
+Requires-Dist: fire >=0.4.0 ; extra == 'dev'
+Requires-Dist: PyYAML >=5.4.1 ; extra == 'dev'
+Provides-Extra: diskcache
+Requires-Dist: diskcache >=5.2.1 ; extra == 'diskcache'
+Requires-Dist: multiprocess >=0.70.12 ; extra == 'diskcache'
+Requires-Dist: psutil >=5.8.0 ; extra == 'diskcache'
+Provides-Extra: testing
+Requires-Dist: beautifulsoup4 >=4.8.2 ; extra == 'testing'
+Requires-Dist: cryptography ; extra == 'testing'
+Requires-Dist: lxml >=4.6.2 ; extra == 'testing'
+Requires-Dist: percy >=2.0.2 ; extra == 'testing'
+Requires-Dist: pytest >=6.0.2 ; extra == 'testing'
+Requires-Dist: requests[security] >=2.21.0 ; extra == 'testing'
+Requires-Dist: selenium <=4.2.0,>=3.141.0 ; extra == 'testing'
+Requires-Dist: waitress >=1.4.4 ; extra == 'testing'
+Requires-Dist: multiprocess >=0.70.12 ; extra == 'testing'
+Requires-Dist: psutil >=5.8.0 ; extra == 'testing'
+Requires-Dist: dash-testing-stub >=0.0.2 ; extra == 'testing'
+
+# Dash
+
+[![CircleCI](https://img.shields.io/circleci/project/github/plotly/dash/master.svg)](https://circleci.com/gh/plotly/dash)
+[![GitHub](https://img.shields.io/github/license/plotly/dash.svg?color=dark-green)](https://github.com/plotly/dash/blob/master/LICENSE)
+[![PyPI](https://img.shields.io/pypi/v/dash.svg?color=dark-green)](https://pypi.org/project/dash/)
+[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/dash.svg?color=dark-green)](https://pypi.org/project/dash/)
+[![GitHub commit activity](https://img.shields.io/github/commit-activity/y/plotly/dash.svg?color=dark-green)](https://github.com/plotly/dash/graphs/contributors)
+
+#### *Dash is the most downloaded, trusted Python framework for building ML & data science web apps*.
+
+Built on top of [Plotly.js](https://github.com/plotly/plotly.js), [React](https://reactjs.org/) and [Flask](https://palletsprojects.com/p/flask/), Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read [our tutorial](https://dash.plotly.com/getting-started) (proudly crafted ❤️ with Dash itself).
+
+- [Docs](https://dash.plotly.com/getting-started): Create your first Dash app in under 5 minutes
+
+- [dash.gallery](https://dash.gallery): Dash app gallery with Python & R code
+
+<div align="center">
+  <a href="https://dash.plotly.com/project-maintenance">
+    <img src="https://dash.plotly.com/assets/images/maintained-by-plotly.png" width="400px" alt="Maintained by Plotly">
+  </a>
+</div>
+
+
+### Dash App Examples
+
+| Dash App | Description |
+|--- | :---: |
+|![Sample Dash App](https://user-images.githubusercontent.com/1280389/30086128-9bb4a28e-9267-11e7-8fe4-bbac7d53f2b0.gif) | Here’s a simple example of a Dash App that ties a Dropdown to a Plotly Graph. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. This app was written in just **43** lines of code ([view the source](https://gist.github.com/chriddyp/3d2454905d8f01886d651f207e2419f0)). |
+|![Crossfiltering Dash App](https://user-images.githubusercontent.com/1280389/30086123-97c58bde-9267-11e7-98a0-7f626de5199a.gif)|Dash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was composed in just 160 lines of code, all of which were Python.|
+|![Dash App with Mapbox map showing walmart store openings](https://user-images.githubusercontent.com/1280389/30086299-768509d0-9268-11e7-8e6b-626ac9ca512c.gif)| Dash uses [Plotly.js](https://github.com/plotly/plotly.js) for charting. About 50 chart types are supported, including maps. |
+|![Financial report](https://user-images.githubusercontent.com/2678795/161153710-57952401-6e07-42d5-ba3e-bab6419998c7.gif)| Dash isn't just for dashboards. You have full control over the look and feel of your applications. Here's a Dash App that's styled to look like a PDF report. |
+
+To learn more about Dash, read the [extensive announcement letter](https://medium.com/@plotlygraphs/introducing-dash-5ecf7191b503) or [jump in with the user guide](https://plotly.com/dash).
+
+### Dash OSS & Dash Enterprise
+
+With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization.
+
+Scale up with Dash Enterprise when your Dash app is ready for department or company-wide consumption. Or, launch your initiative with Dash Enterprise from the start to unlock developer productivity gains and hands-on acceleration from Plotly's team.
+
+ML Ops Features: A one-stop shop for ML Ops: Horizontally scalable hosting, deployment, and authentication for your Dash apps. No IT or DevOps required.
+- [**App manager**](https://plotly.com/dash/app-manager/) Deploy & manage Dash apps without needing IT or a DevOps team. App Manager gives you point & click control over all aspects of your Dash deployments.
+- [**Kubernetes scaling**](https://plotly.com/dash/kubernetes/) Ensure high availability of Dash apps and scale horizontally with Dash Enterprise’s Kubernetes architecture. No IT or Helm required.
+- [**No code auth**](https://plotly.com/dash/authentication/) Control Dash app access in a few clicks. Dash Enterprise supports LDAP, AD, PKI, Okta, SAML, OpenID Connect, OAuth, SSO, and simple email authentication.
+- [**Job Queue**](https://plotly.com/dash/job-queue/) The Job Queue is the key to building scalable Dash apps. Move heavy computation from synchronous Dash callbacks to the Job Queue for asynchronous background processing.
+
+Low-Code Features: Low-code Dash app capabilities that supercharge developer productivity.
+- [**Design Kit**](https://plotly.com/dash/design-kit/) Design like a pro without writing a line of CSS. Easily arrange, style, brand, and customize your Dash apps.
+- [**Snapshot Engine**](https://plotly.com/dash/snapshot-engine/) Save & share Dash app views as links or PDFs. Or, run a Python job through Dash and have Snapshot Engine email a report when the job is done.
+- [**Dashboard Toolkit**](https://plotly.com/dash/toolkit/) Drag & drop layouts, chart editing, and crossfilter for your Dash apps.
+- [**Embedding**](https://plotly.com/dash/embedding/) Natively embed Dash apps in an existing web application or website without the use of IFrames.
+
+Enterprise AI Features: Everything that your data science team needs to rapidly deliver AI/ML research and business initiatives.
+- [**AI App Marketplace**](https://plotly.com/dash/ai-and-ml-templates/) Dash Enterprise ships with dozens of Dash app templates for business problems where AI/ML is having the greatest impact.
+- [**Big Data for Pything**](https://plotly.com/dash/big-data-for-python/) Connect to Python's most popular big data back ends: Dask, Databricks, NVIDIA RAPIDS, Snowflake, Postgres, Vaex, and more.
+- [**GPU & Dask Acceleration**](https://plotly.com/dash/gpu-dask-acceleration/) Dash Enterprise puts Python’s most popular HPC stack for GPU and parallel CPU computing in the hands of business users.
+- [**Data Science Workspaces**](https://plotly.com/dash/workspaces/) Be productive from Day 1. Write and execute Python, R, & Julia code from Dash Enterprise's onboard code editor.
+
+See [https://plotly.com/contact-us/](https://plotly.com/contact-us/) to get in touch.
+
+![Dash Enterprise](https://user-images.githubusercontent.com/2678795/161155614-21c54a22-f821-4dda-b910-ee27e27fb5f2.png)
+
+