PBI-DataVizzle

{
  "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
  "width": 300,
  "height": 200,
  "data": {"url": "data/unemployment-across-industries.json"},
  "mark": "area",
  "params": [
    {
      "name": "industry",
      "select": {"type": "point", "fields": ["series"]},

PBI-DataVizzle

{
  "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
  "width": 300,
  "height": 200,
  "data": {"url": "data/unemployment-across-industries.json"},
  "transform": [
    {"filter": "datum.series == 'Government' || datum.series == 'Finance'"}
  ],
  "mark": "area",
  "params": [

PBI-DataVizzle

{
  "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
  "data": {
    "values": [
      {"partido": "DEM", "ano": 1982, "quantidade": 0, "proporcao": 0},
      {
        "partido": "DEM",
        "ano": 1986,
        "quantidade": 8374709,
        "proporcao": 0.177

PBI-DataVizzle

{
  "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
  "data": {
    "values": [
      {"partido": "DEM", "ano": 1982, "quantidade": 0, "proporcao": 0},
      {
        "partido": "DEM",
        "ano": 1986,
        "quantidade": 8374709,
        "proporcao": 0.177

PBI-DataVizzle

{
  "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
  "data": {
    "values": [
      {"partido": "DEM", "ano": 1982, "quantidade": 0, "proporcao": 0},
      {
        "partido": "DEM",
        "ano": 1986,
        "quantidade": 8374709,
        "proporcao": 0.177

PBI-DataVizzle

{
  "$schema": "https://vega.github.io/schema/vega-lite/v3.json",
  "data": {
    "values": [
      {"partido": "DEM", "ano": 1982, "quantidade": 0, "proporcao": 0},
      {
        "partido": "DEM",
        "ano": 1986,
        "quantidade": 8374709,
        "proporcao": 0.177

PBI-DataVizzle

{
  "$schema": "https://vega.github.io/schema/vega/v5.json",
  "background": "white",
  "padding": 5,
  "width": 500,
  "height": 300,
  "title": {
    "text": "Fuel efficiency generally decreases with engine size",
    "subtitle": "Two seaters (sports cars) are an exception because of their light weight",
    "anchor": "start"

PBI-DataVizzle

//Created by Brian Julius, 23 Oct 2024 using AI model o1-P

BulletChartSVG = 
VAR __TotalSales = [Total Sales]
VAR __TargetSales = [Current Year Sales Target]

-- Normalize the bars by using the maximum target sales across all data
VAR __MaxTargetSales = [Max Sales Target]

-- Scale the bars based on the maximum target sales

PBI-DataVizzle

REM Uses pbi-tools to extract the data model info and create the BIM file associated with each PBIX file in the directory
REM Batch file code written by Brian Julius, October 8, 2024

REM @echo off
SETLOCAL ENABLEDELAYEDEXPANSION
REM ============================================================
REM Batch Script to Extract BIM Files from PBIX Files
REM All PBIX files are in C:\test
REM All BIM files will be written to C:\test\bim_files
REM ============================================================

PBI-DataVizzle

{
  "$schema": "https://vega.github.io/schema/vega/v5.json",
  "description": "An example of a space-fulling radial layout for hierarchical data.",
  "width": 600,
  "height": 600,
  "padding": 5,
  "autosize": "none",
  "data": [
    {
      "name": "tree",