AlgoSapient

Go to the “Load data” tab and use the file upload functionality. The platform supports CSV files up to 10 MB. You can specify delimiters (comma, semicolon, etc.) and indicate whether the first row contains headers. Once uploaded, switch to the Preprocessing tab to inspect variable types, view distributions, check for missing values, and choose which variables to include in your analysis and/or visualization.

Before uploading:
- Use consistent column headers;
- Ensure proper delimiter usage (comma, semicolon, tab, or pipe);
- Remove any special characters that may interfere with analysis;

This message appears when no data has been uploaded yet. First, go to the “Load data” tab and upload your CSV file to begin analysis.

After uploading, you’ll see a “Data preview” section displaying your data in a table. You can adjust the number of entries shown (default is 10) and search your data.

Follow this sequence: upload your CSV file (Load data tab), clean and prepare the data (Preprocessing tab), analyze correlations and statistical relationships (Analysis tab), and create charts to visualize the information (Visualization tab).

Make sure your file:
- Is in CSV format;
- Is under 10 MB in size;
- Has correct formatting with consistent delimiters;
- Contains valid data;

You can report problems and inquiries at info@algosapient.com.

The “Process?” checkbox determines whether a variable will be included in subsequent analyses. Ensure the checkbox is selected for all variables you wish to analyze or visualize.

Yes, use the “Reset preprocessing” button to undo all preprocessing operations and return to the original data.

The platform offers several preprocessing tools:
- Handling missing values;
- Data transformation;
- Variable selection and filtering;

Discrete, Continuous, and Nominal. These types are inferred automatically but can be manually adjusted during preprocessing.

In the Preprocessing tab, select your preferred method from the “Missing values” menu and click “Apply preprocessing”.

Yes, you can export only your data in CSV format using the “Export as CSV” button in the data preview sections. For example, you can preprocess your data and then export it to use in another software.

In the “Analysis” tab, you can choose from:
- Summary Statistics;
- Correlation Matrix;

In the correlation matrix:
- Dark red circles indicate strong positive correlations (close to +1);
- Dark blue circles indicate strong negative correlations (close to -1);
- Light/white circles indicate weak or no correlation (close to 0);
- The diagonal is always dark red (perfect correlation of variables with themselves);

The platform offers several visualization types:
- Histogram;
- Bar Chart;
- Line Chart;
- Box Plot;
- Scatter Plot;
- Pie Chart;

Each visualization section offers export options, including:
- Copy to clipboard;
- Export as SVG;
- Export as PNG.