Datalore 2026.1 Help

Use Data explorer

With Data explorer cells, you can explore, filter, search, and visualize data so that you can inspect and understand your dataset without writing additional code.

Data explorer cell

Add Data explorer cell

Data explorer cells can use data from dataframes.

  1. (Optional) If you have not already, create a dataframe with your data.

  2. Under the last cell, click More and select Data explorer.

  3. Click Select source and select a dataframe with your data.

Table and visualization modes

Data explorer can display your data as a table or as a line, bar, area, scatter, or box chart.

In both modes, you can filter, search, and transform your data.

Switch modes

To switch between the table and visualization modes, use the buttons in the left panel of the Data explorer cell:

Switch between table and visualization modes

    Filter data

    The Filter tab allows you to apply filter to your data.

    You can apply various filters, depending on the data type in the column, exclude duplicates, or exclude missing values.

    Add a filter

    1. Select Filters in the left panel of the Data explorer cell.

    2. Click New filter.

    3. Select the column you want to apply the filter to.

    4. Specify the filtering parameters and click Apply.

    Modify a filter

    1. On the Filters tab, select the filter you want to edit.

    2. Change the parameters and click Apply.

    Delete a filter

    1. On the Filters tab, select the filter you want to delete.

    2. Hover over the filter and click Delete.

    Select displayed columns

    The Columns tab allows you to select the columns that will be displayed in the table or chart. You can also use it to filter out displayed values and view value stats.

    Choose columns to display

    1. Select Columns in the left panel of the Data explorer cell.

    2. Select or deselect the columns you want to display.

    Filter displayed values

    1. Expand the column where you want to filter values.

    2. Select or deselect the values you want to exclude.

      You can also exclude duplicates and missing values.

    View column stats

    1. Expand the column where you want to view column stats.

    Create a new column

    You can create new columns based on values of other columns in the dataframe

    1. Click New column.

    2. Enter the column name.

    3. Enter the SQL expression for calculating the column values.

    4. Click Save.

    Visualize data

    In Visualization mode, you can plot your data using various charts

    Add a chart

    1. In Visualization mode, select Visualization in the left panel of the Data explorer cell.

    2. Click + (New chart).

    3. Select the chart type.

    4. Select the values for the X and Y axes. Apply aggregation and sorting if necessary.

    5. (Optional) Select how your data is displayed using modifiers in the Appearance and Faceting sections.

    6. (Optional) To change the title, legend position, layout, and grid, click Gear icon (Settings) and edit the corresponding values.

    Download a chart

    You can download charts from Data explorer cells as .png and .svg files.

    1. On the Visualization tab, click Gear icon (Settings).

    2. Click Download chart and select the desired file format.

    06 March 2026