Tech Journal

Activity: Functions Introduction In this lab, you will practice defining functions and returning values, writing clean code, and using comments to scaffold code. As a data professional, you’ll often need to reuse the same block of code more than once when you’re writing Python code to automate a certain task. Thi... Read More

목차 제1절 R 기초 제2절 데이터 마트 제3절 결측값 처리와 이상값 검색 Data Types # Character strings class('abc'); class("TRUE") # Numeric class(Inf); class(1); class(-3) # Logical class(TRUE); class(FALSE) # Special values sqrt(-3) # NaN: Not a Number class(NA) # NA: Missing value class(NULL) # NULL: No memory allocated ... Read More

Copyright 2025 Google LLC. # @title Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writin... Read More

Copyright 2025 Google LLC. # @title Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writi... Read More

Annotated follow-along guide: Functions and conditional statements This notebook contains the code used in the instructional videos from Module 2: Functions and conditional statements. Introduction This follow-along guide is an annotated Jupyter Notebook organized to match the content from each module. It contain... Read More