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Module 2 - Python for Data Analysis/15. Working with JSON Data/1. Introduction to JSON/1_intro_to_working_with_json.ipynb

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{
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"company": "TechCorp",
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"employees": [
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{
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"id": 101,
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"name": "Alice",
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"role": "Data Analyst",
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"skills": ["Python", "SQL"],
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"projects": {
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"current": "Sales Forecasting",
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"completed": ["Customer Segmentation", "Churn Prediction"]
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}
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},
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{
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"id": 102,
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"name": "Bob",
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"role": "Data Engineer",
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"skills": ["Spark", "Hadoop"],
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"projects": {
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"current": "ETL Pipeline Optimization",
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"completed": ["Data Warehouse Setup"]
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}
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}
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]
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}
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{
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"employee": {
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"name": "John Doe",
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"age": 28,
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"department": "Data Science",
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"skills": [
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"Python",
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"SQL",
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"Pandas"
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],
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"location": {
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"city": "Bangalore",
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"country": "India"
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}
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}
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}
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[
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{"id": 1, "name": "Alice", "age": 25, "city": "New York"},
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{"id": 2, "name": "Bob", "age": 30, "city": "San Francisco"},
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{"id": 3, "name": "Charlie", "age": 28, "city": "Los Angeles"}
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]
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{
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"company": "TechCorp",
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"employees": [
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{
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"id": 101,
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"name": "Alice",
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"role": "Senior Data Analyst",
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"skills": [
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"Python",
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"SQL"
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],
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"projects": {
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"current": "Sales Forecasting",
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"completed": [
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"Customer Segmentation",
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"Churn Prediction"
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]
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}
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},
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{
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"id": 102,
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"name": "Bob",
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"role": "Data Engineer",
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"skills": [
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"Spark",
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"Hadoop"
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],
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"projects": {
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"current": "ETL Pipeline Optimization",
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"completed": [
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"Data Warehouse Setup"
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]
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},
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"email": "bob@techcorp.org"
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},
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{
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"id": 103,
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"name": "Charlie",
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"role": "ML Engineer",
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"skills": [
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"Python",
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"TensorFlow",
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"NLP"
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],
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"projects": {
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"current": "Chatbot Development",
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"completed": [
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"Sentiment Analysis"
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]
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}
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}
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]
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}
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{
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"employee": {
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"name": "John Doe",
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"department": "Machine Learning",
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"skills": [
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"Python",
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"SQL",
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"Pandas"
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],
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"location": {
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"city": "Bangalore",
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"country": "India"
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},
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"experience": 5
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}
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}

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