Getting Started with Data Visualizer
This documentation will guide you through using the Data Visualizer to transform your raw CSV data into insightful, interactive visualizations.
1. Uploading Your CSV File
To begin, click the "Upload CSV File" button, or drag and drop your CSV file directly onto the designated area. The tool supports standard CSV files. Ensure your CSV file has a header row (column names).
Alternatively, you can use our sample dataset (Titanic passenger data) to explore the tool's capabilities without uploading your own file.
2. Data Preview and Column Information
Once your file is uploaded, you'll see a preview of the first few rows of your data. This allows you to quickly verify that the data has been loaded correctly. You can also view detailed information about each column, including data types, sample values, and basic statistics.
Example:
passenger_id (number): e.g., 12345
name (object): e.g., "Smith, John"
age (number): e.g., 29.99
survived (number): e.g., 1
class (object): e.g., "First"
3. Filtering Data
You can filter your data to focus on specific subsets. The filter options are located in the sidebar.
- Categorical Filters: If your data has columns with text values (like product categories or passenger classes), you can select specific values to include or exclude.
- Numeric Filters: For columns with numbers (like age or price), you can set minimum and maximum values to define a range.
- Date Filters: For columns containing dates and times, you can specify a start and end date to filter by a specific time period.
Filters are applied immediately, and the data preview and available visualizations will update to reflect your selections.
4. AI Recommendations
The "AI Recommendations" section suggests visualizations that are likely to be relevant to your data. These recommendations are powered by AI analysis, which examines the structure and content of your data to provide intelligent suggestions. Simply click on a recommendation to generate the corresponding plot.
5. Creating Custom Plots
For complete control over your visualizations, use the "Custom Visualization" tab:
- Select Plot Type: Choose from a variety of plot types, including:
- Histogram: Shows the distribution of a single numerical variable.
- Box Plot/Violin Plot: Compares the distribution of a numerical variable across different categories.
- Scatter Plot: Displays the relationship between two numerical variables.
- Line Plot: Shows trends over time (requires a datetime column).
- Bar Plot: Compares the values of a numerical variable across different categories.
- Heatmap: Visualizes the correlation between multiple numerical variables.
- Density Plot: Shows the distribution of a single numerical variable, similar to a histogram but with a smoothed curve.
- Pie Chart/Exploded Pie Chart: Shows the proportion of different categories (best for data with a limited number of categories).
- Choose Columns: Select the columns you want to use for the x-axis, y-axis, and hue (color grouping). The available options will be filtered based on the selected plot type and the data types of your columns.
- Customize Parameters: Adjust various parameters to fine-tune your plot.
- Generate Plot: Click the "Generate Visualization" button to create your visualization.
6. Downloading and Sharing Your Plot
Once you've created a plot, you can download it as a PNG image or share it directly by clicking the appropriate buttons in the visualization header.
Troubleshooting
If you encounter any issues, ensure your CSV file is correctly formatted. The file should:
- Be UTF-8 encoded.
- Use commas (,) as delimiters.
- Have consistent headers in the first row.
- Contain no merged cells.
If problems persist, please don't hesitate to contact us for assistance. Contact Us