DAZL Documentation | Data Analytics A-to-Z Processing Language

Recipes Table Of Contents

general

slug: reference-recipes-table-of-contents

This section shows curated pipelines that solve real-world business problems using DAZL steps. Each recipe demonstrates how to sequence steps effectively.

Data Loading & Preparation

Focus: Getting raw data into shape for analysis.

Recipe	Steps
load and clean raw transaction data recipe	load step, filter step, calculate step
Merge multiple input tables for unified dataset recipe	load step, combine step, keep step
Reshape wide datasets into long format recipe	lengthen step, transpose step

Data Cleansing & Standardization

Focus: Correcting, filtering, and normalizing data.

Recipe	Steps
Remove invalid records and handle missing values recipe	filter step, calculate step
Standardize customer codes across datasets recipe	calculate step, keep step, drop step
Detect and reconcile differences between tables recipe	compare step, release step

Exploratory Statistics

Focus: Understanding distributions, trends, correlations.

Recipe	Steps
Compute frequency tables for categorical variables	freq step
Analysis of numeric variables recipe	univariate step
Identify correlations and rank important features	[step-corr], [step-rank]
Frequency analysis of categorical data recipe	freq step

Business Analytics / KPI Computation

Focus: Transform raw data into business insights and KPIs.

Recipe	Steps
Understanding customer behavior with RFM recipe	rfm step, classify step
What contributed to changes from one period to the next recipe	contribution step, cube step
Pareto analysis for top-performing products	pareto step, index step

Predictive Modeling & ML

Focus: Training and applying models to generate predictions.

Recipe	Steps
Train a predictive model on historical sales	trainModel step
Score new customer data using existing model	useModel step, calculate step

Time-Series & Trend Analysis

Focus: Detect trends, seasonality, or changes over time.

Recipe	Steps
Analyze sales trends over time	timeSeries step
Compute moving averages and growth rates	calculate step, [step-rank]

Reporting & Presentation

Focus: Communicate results via dashboards, cards, charts, or reports.

Recipe	Steps
Create a summary dashboard for executives	dashboard step, chart step
Generate a printable report of top customers	[step-report], [step-cards]
Produce a cube view for multidimensional analysis	[step-cubeview], catalog step

Network Analysis

Focus: Explore relationships between entities.

Recipe	Steps
Build network from transactions or interactions	[step-edges], [step-findneighbors]
Identify influential nodes in a network	[step-traverse], [step-centrality]

Reasoning & Pattern Discovery

Focus: Extract patterns, test hypotheses, or build logical argument maps.

Recipe	Steps
Find and test patterns in historical sales	[step-findpatterns], [step-testpatterns]
Build an argument map from dataset insights	[step-buildsrgumentmap], [step-applypatterns]

Workflow Control & Automation

Recipe	Steps
Iterate over multiple regions to produce individual reports	forEach step, executeIf step
Terminate a workflow based on validation rules	exit step, executeIf step