Skip to content
Sangy Academy logo
  • PythonExpand
    • Learn PythonExpand
      • Intro to Python
      • Install Python
      • IDE
      • Running Programs
      • Python Comments
      • Python Assignments, Expressions, Prints
      • Python Integers
      • Python Floats
      • Python NoneType
      • Python Booleans
      • Python Operators
      • Python Statements
      • Python if Tests
      • Python Lists
      • List Methods
      • Python Dictionaries
      • Python Dictionary Methods
      • Python Sets
      • Set Methods
      • String Methods
      • Python Function Basics
      • Python Arguments
      • Python Scope
      • Python Files
      • Mutable vs Immutable Types
      • Python Modules
      • Python Special Data Types
      • The Origins of Python
  • RExpand
    • Learn RExpand
      • Intro to R
      • R Setup
      • R Comments
      • R Data Types
      • R Operators
      • R Control Structures
      • R Lists
      • R Matrices
      • R Factors
      • R Data Frames
      • Intro to Tibbles
      • Data Manipulation with dplyr
      • Tidying Data with tidyr
      • Reading and Writing Files in R
      • Database Connections in R
      • Base R Graphics
      • ggplot2 Basics
      • Customizing Visualizations in R
      • Descriptive Statistics
      • Regression Analysis with R
      • Probability Distributions with R
      • String Manipulation with R
      • Date and Time Handling with R
      • Functions in R
      • Loops and Vectorization
      • Error Handling and Debugging in R
  • MoreExpand
    • Student Portal
    • Blog
    • About
    • Contact
    • Privacy Policy
    • Login
Sangy Academy logo

Blog

Blog Post

The History of Data Analysis

ByClifford Hepplethwaite December 31, 2024February 1, 2025

Ah, the history of data analysis: a thrilling tale of numbers, charts, and a very, very long game of “We had the data, but no one knew what to do with it.” 1. The Dawn of Data (Before 1900s):Imagine a time before computers. Yes, believe it or not, people had to manually count stuff—by hand….

Read More The History of Data AnalysisContinue

2025 - Sangy Academy

Sangy Academy logo
Manage Consent
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
Manage options Manage services Manage {vendor_count} vendors Read more about these purposes
View preferences
{title} {title} {title}
  • Python
    • Learn Python
      • Intro to Python
      • Install Python
      • IDE
      • Running Programs
      • Python Comments
      • Python Assignments, Expressions, Prints
      • Python Integers
      • Python Floats
      • Python NoneType
      • Python Booleans
      • Python Operators
      • Python Statements
      • Python if Tests
      • Python Lists
      • List Methods
      • Python Dictionaries
      • Python Dictionary Methods
      • Python Sets
      • Set Methods
      • String Methods
      • Python Function Basics
      • Python Arguments
      • Python Scope
      • Python Files
      • Mutable vs Immutable Types
      • Python Modules
      • Python Special Data Types
      • The Origins of Python
  • R
    • Learn R
      • Intro to R
      • R Setup
      • R Comments
      • R Data Types
      • R Operators
      • R Control Structures
      • R Lists
      • R Matrices
      • R Factors
      • R Data Frames
      • Intro to Tibbles
      • Data Manipulation with dplyr
      • Tidying Data with tidyr
      • Reading and Writing Files in R
      • Database Connections in R
      • Base R Graphics
      • ggplot2 Basics
      • Customizing Visualizations in R
      • Descriptive Statistics
      • Regression Analysis with R
      • Probability Distributions with R
      • String Manipulation with R
      • Date and Time Handling with R
      • Functions in R
      • Loops and Vectorization
      • Error Handling and Debugging in R
  • More
    • Student Portal
    • Blog
    • About
    • Contact
    • Privacy Policy
    • Login