Build Visual

User can select between:

• Vertical stacked bar chart

Description: Represents data using rectangular bars with heights proportional to values, perfect for comparing quantities across categories.

Required Inputs:

X Axis 📍: Categorical field (e.g., well names, formations, operators)

Y Axis 📍: Numerical values to be displayed as bar heights

Legend 🏷️: Additional categorical field for grouped bars

Use Cases:

•   Well performance comparisons

•   Production by formation

•   Operator performance analysis

Equipment utilization

• Horizontal stacked bar chart

Description: Similar to vertical bar chart but with horizontal orientation, excellent for displaying many categories or long category names.

Required Inputs:

X Axis 📍: Numerical values to be displayed as bar lengths

Y Axis 📍: Categorical field (e.g., well names, formations, operators)

Legend 🏷️: Additional categorical field for grouped bars

Use Cases:

•   Ranking wells by production

•   Comparing multiple formations

•   Long category name displays

•   Performance rankings

• Card plot

Description: Simple display of a single value or metric, perfect for KPIs and summary statistics.

Required Inputs:

Values📍: Field to be counted or displayed as the main value

Use Cases:

•   Total well count

•   Average production rates

•   Key performance indicators

•   Summary statistics

• Pie chart

Description: Circular chart divided into sectors, showing proportions of a whole, perfect for displaying composition and percentages.

Required Inputs:

Values📍: Numerical values (quantitative) OR categorical field (for counting)

Legend 🏷️: Categorical field that defines the segments/slices

Use Cases:

•   Production distribution by operator

•   Well count by formation

•   Asset allocation

•   Market share analysis

• Line chart

Description: Displays data points connected by straight lines, ideal for showing trends over time or continuous relationships.

Required Inputs:

X Axis 📍: The independent variable (e.g., time, date, production time)

Y Axis 📍: The primary dependent variable (e.g., production rates, pressure values)

Y2 Axis 📍: The secondary dependent variable, useful for comparing data with a different scale

Legend 🏷️: Categorical field required to group data into multiple series

Use Cases:

•   Production decline curves

•   Pressure vs. time analysis

•   Performance trends over time

•   Multi-well comparisons

• Area chart

Description: Line chart with filled area below the line, emphasizing volume and cumulative effects.

Required Inputs:

X Axis 📍: Independent variable (e.g., time, date)

Y Axis 📍: Dependent variable (e.g., production rates)

Legend 🏷️: Categorical field for multiple series

Use Cases:

•   Cumulative production analysis

•   Stacked time series

•   Volume visualization

•   Trend analysis with emphasis

• Histogram

Description: Shows the distribution of a single variable by grouping data into bins and displaying frequency counts.

Required Inputs:

X Axis 📍: Numerical field to be analyzed (e.g., production rates, pressure values)

Bins ⚙️: Number of intervals (configurable, default: 10)

Frequency Type ⚙️: Count or percentage display

Use Cases:

•   Production rate distribution

•   Pressure analysis

•   Performance variability studies

•   Statistical analysis

• Scatter plot

Description: Shows the relationship between two numerical variables by plotting individual data points.

Required Inputs:

X Axis 📍: First numerical variable

Y Axis 📍: Second numerical variable

Legend 🏷️: Categorical field for color coding point

Use Cases:

•   Correlation analysis

•   Production vs. pressure relationships

•   Performance correlations

•   Trend identification

• Box plot

Description: Displays the distribution of data through quartiles, showing median, outliers, and data spread.

Required Inputs:

Group By📍: Categorical field for grouping (e.g., lease name, company name)

This field determines how the data will be separated into different box plots

Each unique value in this field will create a separate box plot for comparison

Analyze📍: Numerical field to be analyzed (e.g., oil peak rate, pressure)

This field contains the numerical values that will be statistically analyzed

The box plot will show the distribution, median, quartiles, and outliers of these values

Use Cases:

•   Production variability by formation

•   Performance comparison across operators

•   Statistical analysis of well performance

•   Outlier detection

• 3D plot

• Table

Description: Tabular display of data with sorting, filtering, and export capabilities.

Required Inputs:

All Fields 📋: Any combination of fields to be displayed as columns

Use Cases:

•   Detailed data review

•   Export-ready data

•   Multi-field analysis

•   Data exploration

• Map

• Heat map

Description: Two-dimensional representation where colors represent values in a matrix format, ideal for showing relationships between two categorical variables.

Required Inputs:

X Axis 📍: First categorical variable

Y Axis 📍: Second categorical variable

Value 💎: Numerical field to be represented by colors

Use Cases:

•   Production by formation and operator

•   Performance correlation matrices

•   Geographic production analysis

•   Cross-tabulation analysis

In this pane user can drag and drop the variables to each axis of the plot selected.

Configuration Tips

Field Type Considerations:

Quantitative Fields 📊: Use for numerical analysis (production rates, pressure, etc.)

Categorical Fields 🏷️: Use for grouping and comparison (operators, formations, etc.)

Date/Time Fields ⏰: Use for temporal analysis and trends

Best Practices:

•   Choose appropriate chart types based on your data structure

•   Use legends to add dimensionality to your analysis

•   Consider data volume when selecting chart types

•   Ensure proper field mapping for accurate visualization

Export Options: All chart types support CSV export with appropriate data formatting for further analysis.