Github: SAM
Model: Simple Analysis Machine
The aim of SAM is to help in small business decisions by utilizing data to drive those decisions.
Over my years as a data analytics minor, I realised that to analyze data, one must have a basic knowledge of data analytics tools such as excel and/or python/R. However, most business manager may not have the knowledge needed to operate these tools effectively and may require a data analyst. However, some business decisions are minor/small and do not utiize the full capacity of the data analyst. That's where SAM comes in.
SAM aims to allow managers to quickly generate visual represntaion and information from data which can be used to drive business decisions. Moreover, SAM is fast, efficent, and user-friendly, which gives everyone the ability to be a data analyst in seconds.
- Install Python from Python Official Page.
- Open Terminal
- Go to your file project
- Run in terminal
pip install streamlit - Run in terminal
pip install Image - Run in terminal
pip install pandas - Run in terminal
pip install altair - Run in terminal:
streamlit run app.py - Navigate to localhost:8501
endpoint : On Ainize
You can find sample datasets under the datasets directory.
Within the download you'll find the following directories and files:
SAM
├── CHANGELOG.md
├── functions.py
├── app.py
├── assets
│ ├── samimage.png
│ ├── eniola.jpeg
│ ├── logo
│ │ ├── logo.png
│ ├── videos
│ │ ├── chart.mp4
│ │ ├── csv.mp4
│ │ ├── describe.mp4
│ │ ├── index.mp4
│ │ ├── length.mp4
│ │ ├── sample.mp4
│ │ ├── start.mp4
├── datasets
│ ├── soccer.csv
│ ├── cars.csv
│ ├── cereal.csv
│ ├── factbook.csv
│ ├── film.csv
└── README.md
Streamlit: https://www.streamlit.io/
Social Media:
Linkedin: https://www.linkedin.com/in/eniola-osineye-68480b146/
Portfolio:
Eniola's Portfolio: http://osineye.com