deploy: 6b31bcc

Author: rich-iannone

assets/vhs/cli-cicd-workflows.gif

@@ -8,44 +8,38 @@ Set Width 1200
 Set Height 700
 Set Theme "Dracula"
 
-Type "# Production CI/CD Data Validation Workflows"
+Type "# Example of a Production CI/CD Data Validation Workflow"
 Enter
 Sleep 2s
 
 Type ""
 Enter
-Type "# Pipeline Step 1: Data integrity check with exit codes"
+Type "# Pipeline Step 1: Checking for duplicates while using exit codes (this fails)"
 Enter
 Type "pb validate small_table --check rows-distinct --exit-code"
 Enter
-Type "echo 'Pipeline result:' \$?"
-Enter
-Sleep 5s
+Sleep 10s
 
 Type ""
 Enter
-Type "# Pipeline Step 2: Critical columns validation"
+Type "# Pipeline Step 2: Checking for null values in an important column (this passes)"
 Enter
 Type "pb validate small_table --check col-vals-not-null --column date_time --exit-code"
 Enter
-Type "echo 'Validation status:' \$?"
-Enter
-Sleep 5s
+Sleep 10s
 
 Type ""
 Enter
-Type "# Pipeline Step 3: Business rules validation"
-Enter
-Type "pb validate small_table --check col-vals-gt --column a --value 0 --exit-code"
+Type "# Pipeline Step 3: Checking for values greater than 2 (this one fails)"
 Enter
-Type "echo 'Business rule check:' \$?"
+Type "pb validate small_table --check col-vals-gt --column a --value 2 --exit-code"
 Enter
-Sleep 5s
+Sleep 10s
 
 Type ""
 Enter
-Type "# Use in GitHub Actions, GitLab CI, or any automation platform"
+Type "# Use in GitHub Actions or any automation platform"
 Enter
 Type "echo 'Exit codes: 0 = success, 1 = validation failed'"
 Enter
-Sleep 3s
+Sleep 8s

assets/vhs/cli-cicd-workflows.tape

@@ -1,5 +1,5 @@
 # VHS tape for complete validation workflow
-# Shows realistic end-to-end data quality checking
+# Shows realistic end-to-end data quality checking with world cities data
 
 Output cli-complete-workflow.gif
 
@@ -14,46 +14,62 @@ Sleep 2s
 
 Type ""
 Enter
-Type "# Step 1: Explore your data first"
+Type "# Step 0: Get the dimensions of your data first"
 Enter
-Type "pb preview small_table"
+Type "pb info worldcities.csv"
 Enter
-Sleep 5s
+Sleep 4s
 
 Type ""
 Enter
-Type "# Step 2: Check for basic data integrity"
+Type "# Step 1: Quickly preview the dataset"
 Enter
-Type "pb validate small_table --check rows-distinct"
+Type "pb preview worldcities.csv --head 3 --tail 2"
 Enter
-Sleep 5s
+Sleep 6s
 
 Type ""
 Enter
-Type "# Step 3: Validate critical business columns"
+Type "# Step 2: Scan for data quality patterns"
 Enter
-Type "pb validate small_table --check col-vals-not-null --column a --show-extract"
+Type "pb scan worldcities.csv"
 Enter
-Sleep 6s
+Sleep 12s
 
 Type ""
 Enter
-Type "# Step 4: Check data ranges and constraints"
+Type "# Step 3: Check for missing values"
 Enter
-Type "pb validate small_table --check col-vals-in-set --column f --set 'low,mid,high'"
+Type "pb missing worldcities.csv"
 Enter
-Sleep 5s
+Sleep 8s
 
 Type ""
 Enter
-Type "# Step 5: Comprehensive data profiling"
+Type "# Step 4: Validate the population values are provided for each city (i.e., not null)"
 Enter
-Type "pb scan small_table"
+Type "pb validate worldcities.csv --check col-vals-not-null --column population"
 Enter
-Sleep 6s
+Sleep 10s
+
+Type ""
+Enter
+Type "# Step 5: Check for missing city names (and show problematic rows)"
+Enter
+Type "pb validate worldcities.csv --check col-vals-not-null --column city_name --show-extract"
+Enter
+Sleep 10s
 
 Type ""
 Enter
-Type "echo 'Full data quality pipeline complete!'"
+Type "# Step 6: Validate latitude range (latitude: -90 to 90) in two steps"
+Enter
+Type "pb validate worldcities.csv --check col-vals-ge --column latitude --value -90 --check col-vals-le --column latitude --value 90"
 Enter
-Sleep 3s
+Sleep 10s
+
+Type ""
+Enter
+Type "echo 'Data quality workflow complete: 41K cities validated!'"
+Enter
+Sleep 6s

assets/vhs/cli-complete-workflow.gif

@@ -1,5 +1,5 @@
 # VHS tape for data exploration and profiling
-# Shows preview, missing values, and column summaries
+# Shows preview, missing values, and column summaries using real-world city data
 
 Output cli-data-exploration.gif
 
@@ -8,36 +8,44 @@ Set Width 1200
 Set Height 800
 Set Theme "Dracula"
 
-Type "# Data Exploration & Profiling with Pointblank CLI"
+Type "# Data Exploration & Profiling with the Pointblank CLI"
 Enter
 Sleep 2s
 
 Type ""
 Enter
-Type "# 1. Quick data preview - see structure and sample rows"
+Type "# 0. Exploring world cities dataset: get the table dimensions"
 Enter
-Type "pb preview small_table"
+Type "pb info worldcities.csv"
 Enter
-Sleep 6s
+Sleep 4s
 
 Type ""
 Enter
-Type "# 2. Missing values analysis - identify data gaps"
+Type "# 1. Quick data preview: see structure and sample rows"
 Enter
-Type "pb missing small_table"
+Type "pb preview worldcities.csv --head 3 --tail 3"
 Enter
-Sleep 6s
+Sleep 8s
 
 Type ""
 Enter
-Type "# 3. Comprehensive data scan - statistical overview"
+Type "# 2. Missing values analysis: identify data gaps"
 Enter
-Type "pb scan small_table"
+Type "pb missing worldcities.csv"
 Enter
 Sleep 8s
 
 Type ""
 Enter
-Type "echo 'Complete data profiling in seconds - no Python required!'"
+Type "# 3. Comprehensive data scan: statistical overview"
+Enter
+Type "pb scan worldcities.csv"
+Enter
+Sleep 10s
+
+Type ""
+Enter
+Type "echo 'Complete data profiling in seconds with the Pointblank CLI'"
 Enter
 Sleep 3s

assets/vhs/cli-complete-workflow.tape

@@ -10,34 +10,42 @@ Set Theme "Dracula"
 
 Type "# Essential Data Validation with Pointblank CLI"
 Enter
-Sleep 2s
+Sleep 4s
 
 Type ""
 Enter
-Type "# 1. Check for duplicate rows (most common data quality issue)"
+Type "# 0. Get the table dimensions, just to know what you're working with"
 Enter
-Type "pb validate small_table --check rows-distinct"
+Type "pb info small_table"
 Enter
-Sleep 6s
+Sleep 8s
 
 Type ""
 Enter
-Type "# 2. Find missing values in critical columns"
+Type "# 1. Check for duplicate rows (the most common data quality issue)"
 Enter
-Type "pb validate small_table --check col-vals-not-null --column a"
+Type "pb validate small_table --check rows-distinct"
 Enter
-Sleep 6s
+Sleep 8s
 
 Type ""
 Enter
-Type "# 3. When validation fails, see exactly which rows are problematic"
+Type "# 2. Find missing values in important columns"
 Enter
-Type "pb validate small_table --check col-vals-not-null --column b --show-extract"
+Type "pb validate small_table --check col-vals-not-null --column c"
 Enter
 Sleep 8s
 
+Type ""
+Enter
+Type "# 3. When validation fails, see exactly which rows are problematic with --show-extract"
+Enter
+Type "pb validate small_table --check col-vals-not-null --column c --show-extract"
+Enter
+Sleep 10s
+
 Type ""
 Enter
 Type "echo 'Essential validations: duplicates, nulls, with data extracts'"
 Enter
-Sleep 3s
+Sleep 6s

assets/vhs/cli-data-exploration.gif

@@ -8,36 +8,44 @@ Set Width 1200
 Set Height 700
 Set Theme "Dracula"
 
-Type "# Getting Started with Pointblank CLI"
+Type "# Getting Started with the Pointblank CLI"
 Enter
-Sleep 2s
+Sleep 5s
 
 Type ""
 Enter
 Type "# See all available commands"
 Enter
 Type "pb --help"
 Enter
-Sleep 6s
+Sleep 10s
+
+Type ""
+Enter
+Type "# There's a number of datasets you can use for testing"
+Enter
+Type "pb datasets"
+Enter
+Sleep 8s
 
 Type ""
 Enter
-Type "# Quick validation options overview"
+Type "# Learn about all the `pb validate` options"
 Enter
 Type "pb validate --help"
 Enter
-Sleep 6s
+Sleep 12s
 
 Type ""
 Enter
-Type "# Your first validation - check for duplicates"
+Type "# Your first validation: check for duplicates with rows-distinct"
 Enter
 Type "pb validate small_table --check rows-distinct"
 Enter
-Sleep 5s
+Sleep 10s
 
 Type ""
 Enter
-Type "echo 'Ready to validate any dataset - CSV, Parquet, or database!'"
+Type "# You are now ready to validate any dataset you like: CSV, Parquet, or a DB table"
 Enter
-Sleep 3s
+Sleep 5s