Visualization types in Elasticsearch - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to specify a common visualization type in Elasticsearch.

Elasticsearch

{
  "visualization": {
    "type": "[1]"
  }
}

Drag options to blanks, or click blank then click option'

Atable

Bline_chart

Cpie_chart

Dmap

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'table' which is not a chart type.

Selecting 'map' which is for geospatial data.

The line_chart is a common visualization type used to show trends over time in Elasticsearch.

2fill in blank

medium

Complete the code to define a visualization type that shows parts of a whole.

Elasticsearch

{
  "visualization": {
    "type": "[1]"
  }
}

Drag options to blanks, or click blank then click option'

Abar_chart

Bheatmap

Cpie_chart

Dgauge

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'bar_chart' which shows comparisons, not parts of a whole.

Selecting 'heatmap' which shows intensity, not proportions.

The pie_chart visualization shows how different parts make up a whole.

3fill in blank

hard

Fix the error in the visualization type to correctly specify a map visualization.

Elasticsearch

{
  "visualization": {
    "type": "[1]"
  }
}

Drag options to blanks, or click blank then click option'

Aheatmap

Bhistogram

Cscatter_plot

Dmap

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'heatmap' which shows intensity but not geographic locations.

Selecting 'histogram' which is for distribution, not maps.

The map visualization is used to display geospatial data in Elasticsearch.

4fill in blank

hard

Fill both blanks to create a visualization that shows data distribution over time using a bar chart.

Elasticsearch

{
  "visualization": {
    "type": "[1]",
    "x_axis": "[2]"
  }
}

Drag options to blanks, or click blank then click option'

Abar_chart

Btime

Cdate

Dline_chart

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'line_chart' instead of 'bar_chart' for this task.

Using 'time' instead of 'date' which is the correct field name.

The bar_chart is used to show data distribution, and the date field is commonly used on the x-axis for time-based data.

5fill in blank

hard

Fill all three blanks to define a gauge visualization with a field and a threshold value.

Elasticsearch

{
  "visualization": {
    "type": "[1]",
    "field": "[2]",
    "threshold": [3]
  }
}

Drag options to blanks, or click blank then click option'

Agauge

Bcpu_usage

C75

Dline_chart

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'line_chart' which is not a gauge.

Setting threshold as a string instead of a number.

The gauge visualization shows a single value like cpu_usage with a threshold of 75 to indicate limits.