Automatically translated.View original post

# data a day J - JOIN

Join is "connecting data tables together" with a column called Key.

# DataToon

2/18 Edited to

... Read moreจากประสบการณ์ส่วนตัวที่ผมใช้ JOIN ในการจัดการฐานข้อมูลหลายประเภท พบว่า JOIN เป็นเครื่องมือที่จำเป็นมากสำหรับการรวมข้อมูลที่กระจัดกระจายอยู่ในหลายตารางเข้าด้วยกันอย่างมีประสิทธิภาพ เมื่อใช้ JOIN เราสามารถเชื่อมโยงข้อมูลจากตารางหนึ่งกับอีกตารางหนึ่งด้วยคอลัมน์ที่เป็น Key ซึ่งมักจะเป็น ID หรือข้อมูลเฉพาะที่ทั้งสองตารางมีร่วมกัน เช่น ตัวอย่างของข้อมูลชื่อและรหัสที่ OCR แสดงว่ามีคีย์เดียวกันคือ A001, A002, A003 เป็นต้น การใช้ JOIN จะทำให้สามารถดึงข้อมูลที่เกี่ยวข้องกันมาแสดงผลในตารางเดียวกันได้ทันที นอกจากนี้ JOIN ยังรองรับการเชื่อมข้อมูลจากหลายประเภท ไม่ว่าจะเป็นข้อมูลเชิงตัวเลข ข้อความ หรือแม้แต่วันที่ เราควรเลือกใช้ JOIN ให้เหมาะสมกับความต้องการ เช่น INNER JOIN เพื่อดึงข้อมูลที่มีในทั้งสองตาราง หรือ LEFT JOIN เพื่อดึงข้อมูลทั้งหมดจากตารางหลักพร้อมข้อมูลเสริมจากตารางรอง ในชีวิตจริง การรู้จักและใช้ JOIN อย่างถูกต้องช่วยประหยัดเวลาในการวิเคราะห์ข้อมูลอย่างมาก และช่วยให้ข้อมูลที่ได้มีความแม่นยำและครบถ้วนมากขึ้น นอกจากนี้ยังช่วยให้การเขียนโค้ด SQL ดูเรียบร้อยและเข้าใจง่ายขึ้นอีกด้วย สำหรับผู้เริ่มต้น ผมแนะนำให้ลองนำตัวอย่างข้อมูลที่ง่าย เช่น รายชื่อลูกค้ากับคำสั่งซื้อ มาฝึกใช้ JOIN ดู จะเห็นภาพชัดเจนว่าการเชื่อมข้อมูลทำให้เราสามารถนำข้อมูลมาผสมผสานและวิเคราะห์ได้อย่างไร

Related posts

Data analyst - what to study? 📚
Becoming a data analyst requires mastering a mix of technical, analytical, and communication skills. Here are five essential areas to study: 1. Data Analysis Tools and Software - Excel: Learn advanced features like pivot tables, VLOOKUP, and data visualization. - SQL: Master database querying t
vedha | career tips (tech) 👩‍

vedha | career tips (tech) 👩‍

1485 likes

A desk setup with a laptop and monitor displaying a car, featuring the text "BECOME A DATA ANALYST" on the wall, illustrating a data analyst's workspace.
White buildings with blue domes overlooking the sea, overlaid with text listing free courses for learning data analysis tools and programming languages.
White buildings with blue domes overlooking the sea, with text detailing free courses to develop analytical and statistical skills for data analysis.
Data analyst - what to study? 👩‍💻📈
1. Learn Key Data Analysis Tools and Programming Languages • Tip: Master the core tools and languages that data analysts use. Excel, SQL, Python, and R are essential for data manipulation, analysis, and visualization. SQL is particularly important for querying databases, while Python
vedha | career tips (tech) 👩‍

vedha | career tips (tech) 👩‍

2532 likes

What to study to become a data scientist 🧑‍💻
1. Programming and Data Manipulation - Python: Learn libraries like Pandas, NumPy, and Scikit-learn for data manipulation and modeling. - R: Explore statistical analysis and visualization packages like ggplot2 and caret. - SQL: Master querying, managing, and manipulating structured data in relat
vedha | career tips (tech) 👩‍

vedha | career tips (tech) 👩‍

192 likes

Here’s the $20 per hour data entry remote job!
You only need a high school diploma to do this and it is a work from home data entry role! #dataentry #data #dataentryjobs #dataentryjob #remote
Cee cee

Cee cee

21 likes

4 FREE Data Science Courses For Your Career
ლ(╹◡╹ლ) Offering free data science courses is vital for students aiming to secure internships and jobs as it democratizes access to essential skills. In today's data-driven world, proficiency in data science is highly sought after across industries. By providing these courses at no cost, educa
Anonxdata

Anonxdata

1784 likes

3 Free Data Courses to Help Boost Your Career
Are you wanting to learn more about data, data science, AI, machine learning, and more? Then, take a look at these free courses. Please remember that the courses may be free, but the certification may not be! On the slides, I have provided the synopsis of each course provided on their website! ✺
Itsleilahclaire

Itsleilahclaire

797 likes

A cozy desk setup with a laptop, open book, candles, and flowers, featuring the title 'MY FAVORITE FREE COURSES FOR DATA SCIENCE' in prominent white text. The image has a warm, inviting ambiance.
A pink pop-up window details the IBM: Python for Data Science, AI & Development course, highlighting learning Python logic, libraries like Pandas & Numpy, and earning a LinkedIn certificate upon completion.
A pink pop-up window describes FreeCodeCamp, recommending it for coding beginners due to its extensive resources like videos and articles that explain concepts in depth without using jargon.
my favorite FREE courses for data science 📈✨📚
I've been thinking of entering the data science field for some time, and especially in today's job market, it’s really helpful to have something that sets you apart from everyone else. Even if you're just thinking, these courses will give you an taste of what it’s like to study and work
may

may

380 likes

4 Data Analysts Projects You Should Try!
Becoming a data analyst offers numerous rewarding aspects: 1. Insights: Data analysts uncover valuable insights from large datasets, informing strategic decisions and driving business growth.📌 2. Problem-solving: Analyzing complex data sets allows for solving challenging problems and optimizi
Anonxdata

Anonxdata

231 likes

Impressive LinkedIn Summary for Data Analyst
Hello everyone! I wanted to share tips for creating an impressive LinkedIn summary for data analysts. Start by clearly stating your role and years of experience. Highlight core skills, such as Python, SQL, and Tableau, along with your key achievements and industry expertise. Express your passion fo
Yun Jung

Yun Jung

46 likes

How to transition into Data Analytics role
Hello everyone! Transitioning into a data analytics role requires a strategic approach and a commitment to learning. Start by assessing your current skills and identifying areas for improvement. Take online courses or enroll in a data analytics bootcamp to gain foundational knowledge in statistical
Yun Jung

Yun Jung

198 likes

Ways to Improve Your Data Skills in ur career 📊✨
Hey All! 🌍 Want to boost your data skills and stay ahead in today's data-driven world? Here are some practical tips to help you get started. Let’s dive in! 👇 1. Learn the Basics 📚 Online Courses: Platforms like Coursera, Udemy, and Khan Academy offer excellent data courses. Key Concepts: U
Meghana

Meghana

33 likes

Useful Python libraries for Data Analysts
Hello everyone! I wanted to highlight key Python libraries for data analysts that I find very useful! To start with, Pandas library excels in data manipulation with DataFrames and Series. NumPy supports efficient handling of large arrays and mathematical operations. Matplotlib offers versatile plot
Yun Jung

Yun Jung

61 likes

The best website for data analytics 👩🏻‍💻📊
Tableau software is amazing!! And they have student license that gets you free access for a year. Get a free 1-year license using your school email!! Plus some extra perks like👇🏻 💻 Free access to Tableau Desktop & Tableau Prep 👩🏻‍🏫 Free access to Tableau eLearning 📝 20% off Tableau cert
studywithnali

studywithnali

1513 likes

Free Data Science Courses from Stanford
If you are interested in Data Science, these FREE courses from Stanford make learning easy and accessible for everyone: 1. Statistical Learning with R. In this course you are going to learn about: * Overview of statistical learning * Linear regression * Classification * Resampling methods *
Ivy League Help

Ivy League Help

106 likes

Understanding data governance as a data analyst
Hello everyone! I wanted to stress the importance of effective data governance. Clear roles and responsibilities in data management ensure accountability and oversight. Robust data quality assurance processes provide reliable data for decision-making and reduce operational risks. Privacy and securi
Yun Jung

Yun Jung

16 likes

Using Cloud Computing as a Data Analyst
Hello everyone! I wanted to share some insights about cloud computing, which involves delivering computing services such as storage, processing, and networking via the internet. This allows remote access and management of data and applications. Real-life examples include Google Drive for cloud stor
Yun Jung

Yun Jung

19 likes

Big Data Analytics techniques for Data Analysts
Hello everyone! I wanted to share why strategic steps in big data analytics are essential for extracting valuable insights. Comprehensive data collection ensures a complete dataset, while effectively cleaning and preprocessing data enhances accuracy. Moreover, advanced analytics techniques like mac
Yun Jung

Yun Jung

13 likes

Work From Home Part Time Data Entry Remote Job
#remoteworkfromhomejobs #news #fyp #foryoupage #workfromhome
Two Chicks with a Side Hustle

Two Chicks with a Side Hustle

58 likes

🔥 Top 3 Data Analyst Interview Qs You MUST Know!
Are you gearing up for a data analyst interview? Get ahead of the competition by preparing for these top 3 questions recruiters love to ask! 🚀💼 1. Why did you decide to become a data analyst? ✨ Example Answer: “I’ve always loved solving problems, so I get a sense of satisfaction from the work
Pradeep M

Pradeep M

125 likes

SOLEO HEALTH: Data Entry Clerk - $17-$20 per hour
Remote: Fully Remote (Texas) Employment Type: Full-Time Post Date: Not Disclosed ~ Notes: Infusion experience required and must work 8:30am-5pm Pacific Time Zone. #wfhtips #remotework #workfromhome #Workandtravel #fyplemon8
HausofHire

HausofHire

43 likes

FREE Data Science Courses Online
1. Prepare Data for Exploration. In this course you are going to learn about: * Explain what factors to consider when making decisions about data collection. * Discuss the difference between biased and unbiased data. * Describe databases with references to their functions and components. * Desc
Ivy League Help

Ivy League Help

25 likes

From Data Newbie to Data Ninja 🥷
Wanna know a secret? The path to data science isn't always paved with degrees. It's more like a Choose Your Own Adventure book, but way cooler! 📚✨ Think you need to be a math prodigy or coding genius to play with big data? Nope. What you really need is curiosity, persistence, and a dash
Dominica Amauri

Dominica Amauri

32 likes

A laptop displaying data dashboards with charts and graphs, including 'Daily Signups' and 'Affiliates Sales'. Overlay text reads 'TIPS FOR DATA ANALYSTS WHAT IS KPI? (KEY PERFORMANCE INDICATOR) Learn why it's important!' with 'SWIPE' indicating more content.
A person's hand points to a document with data tables and charts. Overlay text defines KPI as 'Key Performance Indicator: Measurable values that gauge how effectively an organization is meeting its key business goals.'
A laptop screen shows 'KPI EXAMPLES' with lists for 'SALES' (e.g., Monthly Sales Growth, Customer Retention Rate) and 'MARKETING' (e.g., Website Traffic, Conversion Rate, Social Media Engagement).
KPI: why you MUST know this as a data analyst
Hello everyone! KPI stands for Key Performance Indicator for measuring progress toward organizational goals. Whether in business, education, or personal development, KPIs provide clarity and direction. They can range from financial metrics like revenue growth to operational metrics such as customer
Yun Jung

Yun Jung

31 likes

Data entry wfh job
#wfh #workfromhome #workathome #workfromanywhere #remotework
TheREALWfhCali

TheREALWfhCali

409 likes

A black background with white text reads "6 STEPS TO GETTING STARTED WITH DATA ENTRY JOBS (Beginner-Friendly)" with starbursts and an arrow, indicating a guide.
A person types on a laptop, with text overlay "DATA ENTRY JOBS For Beginners" and "THE MONEY Fix" logo, suggesting an introduction to data entry.
A person types on a laptop, with text overlay "STEP 1: Understand What It Is" defining data entry as typing info into documents, requiring basic computer skills.
DATA ENTRY JOBS: Step-by-Step for Beginners 💻
✨ONLINE SIDE HUSTLE NUMBER 5✨ Here’s a simple, beginner-friendly, step-by-step breakdown for getting started with Data Entry Jobs: Step 1: Understand What It Is Step 2: Set Up Your Tools Step 3: Create a Simple Resume Step 4: Find Entry-Level Gigs on Trusted Platforms Step 5: Avoid Sc
THE MONEY FIX™

THE MONEY FIX™

1333 likes

A collage of data-related stickers and cards, with the prominent text "DATA ANALYSIS MISTAKES TO AVOID" and "SWIPE" indicating a multi-page post. It features elements like "DATA > OPINION" and "jupyter."
Text overlaying a white and mint green keyboard, listing the first three data analysis mistakes: Ignoring Data Quality, Lack of Clear Objectives, and Overfitting Models, under the title "DATA ANALYSIS MISTAKES TO AVOID."
Text overlaying a business chart with graphs and a pie chart, detailing data analysis mistakes 4, 5, and 6: Confirmation Bias, Not Exploring Alternatives, and Misinterpreting Correlation.
Data Analysis - Mistakes to Avoid
Hello everyone! When delving into data analysis, watch out for common mistakes like overlooking data quality or misinterpreting results. It's crucial to communicate findings clearly and double-check processes for accuracy. By avoiding these mistakes, you can ensure reliable insights that drive
Yun Jung

Yun Jung

35 likes

Data Analyst vs Business Analyst - The difference
Hello everyone! I often get questions on the difference between data analyst vs business analyst so wanted to share about the differences! While both involve working with data, a Data Analyst focuses on interpreting and analyzing data to provide insights, while a Business Analyst interprets those i
Yun Jung

Yun Jung

175 likes

How I Became A Data Analyst
Data analysts need a mix of skills to do well at their jobs. They have to be good at analyzing data to find patterns and draw conclusions. Knowing how to use tools like SQL and Excel is important too. ☆*: .。. o(≧▽≦)o .。.:*☆ These tools help manage and analyze data effectively. It's also help
Anonxdata

Anonxdata

764 likes

Skills Needed In a Data Science Career!
To succeed in a data science career, mastering key skills is essential. Programming is foundational, with languages like Python and R being widely used for data manipulation, analysis, and building machine learning models. Strong programming skills enable you to automate processes and handle large
Anonxdata

Anonxdata

40 likes

A laptop displaying code, with the title 'SKILLS NEEDED FOR DATA SCIENTISTS' in pink and white text, and 'SWIPE' with an arrow. It serves as the cover for a post about data science careers.
A laptop screen showing code, overlaid with a purple box listing key data scientist skills: statistical analysis, programming skills (Python, R, SQL), and machine learning algorithms and techniques.
A desk with a laptop, keyboard, plant, and coffee cup, featuring a brown box listing additional data scientist skills: collaboration, data visualization, and big data technologies (Hadoop, Spark, Flink).
Skills needed for Data Scientists
Hello everyone! Data science is a dynamic field that requires a diverse skill set. Proficiency in programming languages like Python and R is essential for data manipulation and analysis. Strong statistical knowledge and the ability to interpret data insights are also crucial. Familiarity with machi
Yun Jung

Yun Jung

37 likes

Data Analysts Career Guide: SQL Query Optimization
Hello everyone! I wanted to share tips for optimizing SQL query performance. Using indexes effectively on key columns and selecting specific columns can speed up data retrieval. Additionally, minimizing nested queries and optimizing join operations enhances efficiency. Moreover, limiting unnecessar
Yun Jung

Yun Jung

14 likes

Free Data Science Courses from MIT
If you are interested in Data Science, these FREE courses from MIT make learning easy and accessible for everyone: 1. Introduction to Computational Thinking and Data Science: This course will teach you how to use computation to accomplish a variety of goals and provides you with a brief introduc
Ivy League Help

Ivy League Help

337 likes

A woman with long dark hair stands in front of a white wall decorated with colorful circular objects. Text overlay reads "Free Resources For New/Aspiring Data Professionals," introducing the article's topic.
A smiling woman with long dark hair. A text box explains that YouTube offers great free resources for data professionals, recommending exploration or boot camps for accountability.
A smiling woman. A text box, styled as a social media post, recommends Leila Gharani's YouTube channel for learning Excel, featuring her profile picture.
Resources For New/Aspiring Data Professionals
Here are some resources that helped me early in my journey as a data professional. Learning never stops, and I still find these tools valuable—even after landing my first role! If you’re new or aspiring, I’ve got you covered. The videos are on YouTube—DM me, and I’ll share the links! #lemon8par
NeLo

NeLo

41 likes

Data Engineering
#womenintechnology #tech #TechTips #cybersecurity
Quanahmichelle

Quanahmichelle

13 likes

How I turn Data into Dashboard in a minute 📚✨
You have ever felt overwhelmed by all the 2026 tech job market news. 🫠 As a 3rd-year student, those layoff headlines had me questioning everything. Instead of spiraling, I started looking at the actual data. “Memex.tech” helps me turn complex industry info into clean dashboards, so I can see
studywithemmane

studywithemmane

31 likes

Different paths for data analysts
Hello everyone! I think one of the merits of being a data analyst is that there are many different paths you can pursue! Data Analysts can specialize in different areas such as business intelligence, machine learning, or data visualization, allowing for diverse career trajectories and opportunities
Yun Jung

Yun Jung

175 likes

A top-down view of a desk with a laptop, coffee, and a hand holding a stylus. Text reads "LANDING YOUR FIRST DATA ANALYST ROLE" and "SWIPE", indicating an article about career advice for data analysts.
A laptop screen displays tips 1-3 for landing a data analyst role: building skills, creating a portfolio, and networking. Illustrations of data analysis tools and a network of people are visible.
A notebook with a pen and text outlining tips 4-5: tailoring resumes and preparing for interviews. Graphics show a resume template and two people discussing, representing job application and interview preparation.
5 tips to land you your first data analyst job
Hello everyone! I wanted to share some tips on how I’ve landed my first role as a data analyst. Each step was very critical and will take time to prepare! But having this outline will make sure you are prepared to apply for your first data analyst role! Feel free to ask me any questions :) #lemo
Yun Jung

Yun Jung

37 likes

Data Analyst in Finance,Healthcare,Tech
Hello everyone! Data analysts play a crucial role in various industries, from finance and healthcare to technology and more! In finance, they analyze market trends and investment strategies. In healthcare, they mine patient data to improve outcomes and optimize operations. In tech, they provide ins
Yun Jung

Yun Jung

198 likes

Skills you need as a Data Scientist
If you're new here...hi! I'm a data scientist at a tech company & I regularly share tips about how to learn Data Science skills and what it's like being a Data Scientist. Here are 2 skills you will definitely need if you're considering applying for Data Science roles: 1) S
Delara 💖👩🏻‍💻

Delara 💖👩🏻‍💻

77 likes

A woman in a green hoodie points upwards, with text overlaying the image that reads 'FREE Power BI/Tableau Courses For Aspiring Data Analysts In 2025'. A white board with 'Dream Big' is behind her.
A woman sits on a white bench with a laptop, while text boxes list courses: 'Learn Tableau Desktop for Accurate Business Analysis Course By Udemy', 'Analyzing and Visualizing Data with Power BI by Edx', and 'Data Visualization in Tableau By Udacity'.
A woman sits on a white bench with a laptop, with text boxes listing courses: 'Power BI Report Development By Coursera', 'Tableau.Com Training Videos', and 'Create a Dashboard in Power BI by Udemy'.
Power BI/Tableau Courses For Aspiring Data Analyst
Power BI and Tableau might be a niche you’ll want to consider specializing in for 2025. To help you get started, I’ve put together a list of courses you can check out: ✨Power BI Report Development – Learn to build professional reports on Coursera. ✨ Tableau.com Training Videos – Master Tableau
NeLo

NeLo

72 likes

ANALYZE DATA - EXCEL TOOL
Excel's Analyze Data Tool is a game-changer, simplifying the way you work with data. Say goodbye to the days of laboriously creating tables and charts and struggling with formatting intricacies. This tool automates the process, making data analysis and visualization effortless. With just a f
Peyton’s Place

Peyton’s Place

253 likes

Data Analyst - Start a career today
1. Master Essential Tools and Skills - Why It’s Crucial: Employers prioritize technical proficiency for handling and visualizing data. - Focus Areas: - Excel: For basic data analysis and pivot tables. - SQL: To query and manage large datasets (a must-have skill). - Python/
vedha | career tips (tech) 👩‍

vedha | career tips (tech) 👩‍

216 likes

$32.75 per hour no degree meter data entry.
No phone work from home job! If you wanna work from home job, this is perfect for you. Check it out and apply ASAP! #nophone #nophoneneeded #remote #remotejob #remotejobs #dataentry #dataentryjob #dataentryjobs #remotedataentry #introvert #introverted #remoteintrovert #introvertjobs
Cee cee

Cee cee

28 likes

A desk setup with a laptop, lamp, and plant, featuring text overlay "DATA ANALYST 5 essential tools." A black cat sticker is on the laptop screen. This image serves as the title card for a list of data analysis tools.
A list detailing the first three essential data analyst tools: SQL, Excel, and Python. Each tool includes its purpose, a course recommendation, and platform, set against a background of white buildings with blue accents.
A list detailing the remaining two essential data analyst tools: Tableau and Power BI. Each tool includes its purpose, a course recommendation, and platform, set against a background of white buildings with blue domes.
Top five tools every data analyst should master
1. SQL 🐘 - Why: SQL is the backbone of data querying, helping you extract, manipulate, and analyze data directly from databases. It's fundamental for any data analysis workflow. - Course: SQL Fundamentals - Platform: DataCamp 2. Excel 📈 - Why: Excel is still invalua
vedha | career tips (tech) 👩‍

vedha | career tips (tech) 👩‍

131 likes

Free Data Analytics Courses from Google
Free Data Analytics Courses from Google If you are interested in Data Analytics, these FREE courses from Google make learning easy and accessible for everyone 1. Ask Questions to Make Data-Driven Decisions. In this course you are going to learn about: * Explain how the problem-solving road ma
Ivy League Help

Ivy League Help

46 likes

Why analysts should use Python for Data Processing
Hello Data Analysts! I wanted to highlight Python's efficiency in data cleaning and preprocessing. Python libraries like Pandas and NumPy offer methods to handle missing data, transform data types, and encode categorical variables like one-hot encoding. Tools such as drop_duplicates() ensure da
Yun Jung

Yun Jung

43 likes

See more