Julius AI is an intelligent data analysis tool that explains, analyzes, and visualizes complex data in an intuitive and user-friendly manner. Its advantage is that it makes data analysis accessible and easy to manipulate even for non-data scientists or statisticians.
It supports various data file formats, including but not limited to spreadsheets (.xls, .xlsx, .xlsm, .xlsb, .csv), Google Sheets, and Postgres databases.
Translation: Chatting with the computer, data analysis is done!
It has the following main functions:
- Automated data processing
- Model analysis of data
- Visualization of data processes
- Conversing with data, extracting and analyzing specific areas of interest
- Can be used to quickly obtain the value of data by asking questions and guiding the analysis process, also serving as an extension of analytical thinking.
Now let's take a look:
First, we prepare our own dataset. You can find data in your field of interest on Kaggle. Here, I will use a dataset of Starbucks stock prices.
Next, upload your data and start the conversation. It will automatically analyze the data and provide Python code.
It also provides basic chart displays for the data:
Next, we can start the guided intelligent analysis of the data according to the data analysis process. First, preprocess the data to ensure its quality, including handling outliers, empty values, missing values, and business logic data.
After preprocessing, we can further explore the data through exploratory data analysis (EDA). You can also generate code to run in Python, saving time on writing code.
If you're interested, you can visit the official website at https://julius.ai/ (no magic required).