WebWelcome to this project-based course on Using SQL String Functions to Clean Data. In this project, you will learn how to perform data cleaning and manipulation using SQL string functions like LENGTH, UPPER & LOWER, REPLACE, TRIM, SUBSTRING, CONCAT, STRING_AGG, and COALESCE. WebData Cleaning Project Using Microsoft SQL Server. A SQL data cleaning project using the Nashville housing dataset. The following task completed for this project: Standardized …
💥 Data cleaning with SQL Housing project - Ivan Condor
WebFeb 4, 2024 · SQL data analysis project from basic statistics like median, min, max, avg,etc to percentile, correlation or linear regression sql-server statistical-analysis data-analysis descriptive-statistics sql-data-analysis Updated on Jul 3, 2024 TSQL vishnu-t-r / sql_solved_questions Star 3 Code Issues Pull requests WebJan 14, 2024 · Data Cleaning and Wrangling in SQL SQL is a foundational skill for data analysts but its application is sometimes limited within the data pipeline. However, SQL can be successfully used for many pre-processing tasks, such as data cleaning and wrangling, as demonstrated here by example. comments red pirate books
Cleaning and Transforming Data with SQL by Lorraine Li …
WebDrop unnecessary columns (photoUrl, playerUrl, Contract, Loan_Date_End, Release_Clause were dropped as they will not be beneficial for our data cleaning and data exploration … WebSQL_Data_Cleaning_Project A project that show cases my data cleaning ability using MS SQL Server. What is Data Cleaning? Data cleaning can be defined simply as the process of fixing or removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset. WebNov 12, 2024 · 1 Here is one option using string functions: update mytable set email = replace (email, '**', ''), phone_number = regexp_replace (phone_number, '\\D', '') This removes '**' from email, and all non-digit characters from phone_number. Share Improve this answer Follow answered Oct 21, 2024 at 23:44 GMB 205k 23 74 122 Add a comment Your Answer red pirate boots