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data type...???

# Web Site Writing Basics

# variable # data atype

# javascrip

Datatype in JavaScript is the type of values that a variable can store. Knowing and understanding data types allows you to act on them correctly.

Primitive Data Types

JavaScript has 7 basic data types:

String 📝

Used to store text or sequence of characters.

Must be surrounded by single (') or double (") quotation marks or Backticks (") for Template Literals

Example: 'Hello world', "JavaScript," Name: ${name}

Number 🔢

Used to store numbers, both integers and decimals.

There are special values like Infinity, -Infinity and NaN (Not a Number).

Example: 10, 3.14, -50

BigInt 🐘

Used to store integers larger than the Number can support (over 2

53

- 1)

Must be appended to the letter n.

Example: 9007199254740991n, 12345678901234567890n

Boolean ✅

It is used to store logical values. There are only two values: true (true) and false (false).

Often used in decision making (Conditional logic)

Example: true, false

Undefined. ❓

Refers to a variable that has already been declared but has not yet been configured.

It is the default value of the recently announced variable.

Example: Let x; / / x have an undefined value.

Null. 🚫

It means no value or empty value.

The developer determines that value itself to show that the variable does not have any value.

Example: let data = null;

Symbol ✨

It is a data type added to ES6 (ECMAScript 2015).

Used to create unique identifiers to use as Object properties.

Reference Data Type (Non-Primitive / Reference Data Type)

JavaScript has the main reference data types:

Object 🧱

Used to store collections of complex data (key-value pairs)

It is the foundation of complex data structures in JavaScript, including Array and Function.

Example:

Plain Object: let person = {name: "Alice," age: 30};

Array: let colors = ["red," "green," "blue"]; (Technically, an Array is a kind of Object)

Function: function greet () {/ * code * /} (Function is also considered a kind of Object)

Remarks:

Primitive types store value directly (By value)

Reference types store a reference (Address) to the location of the value in memory (By reference).

Understanding these data types is critical in writing accurate and efficient JavaScript code!

2025/10/2 Edited to

... Read moreเมื่อคุณเริ่มเขียนโค้ดใน JavaScript การเข้าใจประเภทข้อมูลหรือ datatype เป็นสิ่งสำคัญมาก เพราะช่วยให้จัดการกับตัวแปรและค่าได้อย่างถูกต้องและมีประสิทธิภาพ นอกจากข้อมูลพื้นฐาน 7 ประเภทที่กล่าวถึงในเนื้อหาแล้ว JavaScript ยังเน้นถึงประเภทข้อมูลที่ไม่เหมือนกันในแง่ของการจัดเก็บข้อมูล ได้แก่ ประเภทข้อมูลพื้นฐาน (Primitive types) ที่เก็บค่าแบบตรง ๆ เช่น String หรือ Number และประเภทข้อมูลแบบอ้างอิง (Reference types) ที่เก็บเป็นที่อยู่ของข้อมูลในหน่วยความจำ ซึ่งเข้าใจความแตกต่างนี้ช่วยหลีกเลี่ยงข้อผิดพลาดเมื่อเปลี่ยนแปลงค่าของตัวแปรที่เป็น Object หรือ Array อีกสิ่งสำคัญคือ datatype Symbol ซึ่งถูกเพิ่มเข้ามาตั้งแต่ ES6 โดยใช้สร้างตัวระบุที่ไม่ซ้ำกัน ทำให้สามารถใช้เป็นกุญแจ (key) ใน Object ได้โดยไม่ต้องกลัวชนกันของชื่อสมบัติเหมือนการใช้ String เรื่อง BigInt เป็นประโยชน์มากเมื่อคุณต้องจัดการกับจำนวนเต็มที่ใหญ่เกินกว่าค่าที่ประเภท Number สามารถเก็บได้ ตัวอย่างเช่น การจัดเก็บเลขประจำตัวประชาชนหรือค่าทางการเงินขนาดใหญ่ที่ต้องการความแม่นยำสูง การมีความรู้เรื่องค่า Undefined และ Null ก็ช่วยให้คุณเข้าใจสถานะของตัวแปรระหว่างเขียนโค้ด เช่น Undefined หมายถึงตัวแปรที่ถูกประกาศแต่ยังไม่ได้กำหนดค่า ขณะที่ Null ใช้แสดงเจตนาเพื่อว่างเปล่าหรือไม่มีค่าอะไร การใช้งาน object ใน JavaScript มีความยืดหยุ่นสูง โดยสามารถเก็บข้อมูลในรูปแบบ key-value pairs และยังสามารถสร้างข้อมูลเชิงซ้อนอย่าง Array หรือ Function ได้ ซึ่งเป็นความสามารถที่สำคัญในการจัดการข้อมูลและสร้างโปรแกรมที่มีโครงสร้างดี หากคุณสนใจเพิ่มพูนความรู้เกี่ยวกับการใช้งาน datatype ในสถานการณ์จริง การทดลองเขียนโค้ดและทดสอบผลลัพธ์ด้วย typeof operator จะช่วยให้เห็นภาพชัดเจนขึ้นว่าข้อมูลแต่ละชนิดทำงานอย่างไร และช่วยให้คุณพัฒนาทักษะเขียนโค้ด JavaScript ที่ถูกต้องและทันสมัยมากขึ้น

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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

17 likes

Intro to Data Analysis. 📊📈
Data analysis is the process of inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. 📊 It involves a systematic approach to examining large amounts of data to identify patterns, trends, and relationships. 🔍 👆 Her
Lucky Girl 🥰

Lucky Girl 🥰

4 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
angelbaby_8a

angelbaby_8a

0 likes

The image displays the title page for 'SECTION 1.2: DATA CLASSIFICATION AN INTRO TO STATISTICS STATISTIC NOTES' on a light beige background with a dark brown border, indicating the start of a statistics study guide.
This image defines 'TYPES OF DATA', illustrating Qualitative data (eye color, major, ethnicity) with icons of an eye, graduation cap, and people, and Quantitative data (age, weight, temperature) with icons of glasses, a dumbbell, and a thermometer.
The image details the 'Levels of Measurement', specifically Nominal and Ordinal levels. Nominal data is qualitative, categorized by names/labels with no math. Ordinal data can be qualitative or quantitative, ranked, but differences between entries are not meaningful.
STATISTIC NOTES PT 2
#fyp #college #loveisland #study #notes EXTRA NOTES: Types of Data 1. Qualitative (Categorical) Data • Describes qualities, categories, or labels. • Examples: eye color, gender, nationality. • Can be nominal or ordinal level. 2. Q
euonia | game dev

euonia | game dev

11 likes

learning databases. f I ne tun I ng my tech toolbo
</shy-sinister>

</shy-sinister>

0 likes

A desk setup with a computer displaying a document, surrounded by cute stationery and decorations. An overlay reads "SWIPE TO VIEW Where to find the best research papers."
A screenshot of Google Scholar search results for "nutrition and productivity," showing various articles. Text below indicates it provides books, journal articles, and research papers from diverse databases.
A screenshot of the JSTOR website displaying search results for "design theory." Text below highlights it offers academic papers on history, literature, life sciences, and STEM.
🌸 best databases to find research papers
‧°𐐪♡𐑂°‧₊ ☁️ Whether you’re an academic or work in literature or research, here are 3 recommendations for databases that share a variety of research papers, journal articles, conference papers and more! 🌸 Google Scholar presents papers from all disciplines from various databases, but this may
peachiesuga ♡

peachiesuga ♡

124 likes

Not sure about being a data analyst?
Not sure about being a data analyst? POV: You’re unsure if a data analyst role is for you so you complete this 4 week challenge to decide if it’s a good fit Therefore, scroll down to see a realistic yet simple case study that I created to decide if data is for you. If you’re not sure if th
Serena | Data

Serena | Data

32 likes

Who are Data Analyst Engineers & What do they do?
Let's talk about the Analytics Engineer Role: I particularly enjoy working in this role, It sits somewhere in the middle of a data engineer and a data analyst but it is neither. An analytics engineer is a modern data team member that is responsible for modeling data to provide clean, accurate
NeLo

NeLo

15 likes

💻Try Linear Regression Modeling in Python
Since we’ve covered basic concepts like mean, median, correlation and linear regression, it is time we practiced using Python. Please refer to the pictures in this post for detailed coding and data display. 🖋️Get data set from Kaggle I downloaded the Titanic data set from the famous data scie
Capital&Crypto

Capital&Crypto

13 likes

A vibrant image featuring a pink neon butterfly sign on a wall, a framed picture, and a computer monitor displaying abstract patterns. The text overlay reads "3 Websites To Help You Type Faster."
A computer screen displays the Monkey Type website, showing a typing test with words to type. An overlay describes it as customizable for tracking typing speed and accuracy.
A computer screen shows the TypeRacer website, featuring a typing race interface with cars representing participants. An overlay highlights its competitive aspect against other typists.
Websites To Help You Type Faster!!
If you have always wanted to be a super great typer and a super FAST typer, then you need to know about these websites! I use all of these websites to help me improve my typing skills. As a computer science student you really need to know how to type accurately and quickly to get all of your wor
CompSkyy

CompSkyy

2956 likes

A woman in a white outfit smiles and waves, with the text 'Tools Required for Some Careers in Data' overlaid. She is in a modern space with a green moss wall.
A woman sits on a yellow couch using a laptop, with a green moss wall behind her. Text labels 'Data Analyst' and lists tools: SQL, Power BI, Python, Lucid Chart, SQL server.
A woman sits on a yellow couch using a laptop, with a green moss wall behind her. Text labels 'Analytics Engineer' and lists tools: Dbt, SQL, Python, Git, Power BI, Snowflake.
Tools Required for Some Careers in Data
I wanted to share some of the tools that have helped me along my unconventional career journey. Each tool has been a game-changer in shaping my path and workflow. Where are you in your career right now? And what tools are helping you grow or stay productive? Let’s chat in the comments! #lemo
NeLo

NeLo

11 likes

Data Engineering
#womenintechnology #tech #TechTips #cybersecurity
Quanahmichelle

Quanahmichelle

14 likes

Data Structures
#techskills #technology #techjobs #softwaredeveloper #softwareengineer
Arn Hayes

Arn Hayes

0 likes

5 entry level tech jobs for newbies 👩‍💻☁️
1. Entry-Level Software Engineer - What they do: Write and test code, work on software features, fix bugs, and collaborate with other developers. - Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field. - Skills: Proficiency in programming langua
vedha | career tips (tech) 👩‍

vedha | career tips (tech) 👩‍

532 likes

Data engineering roadmap part 1
Here's a comprehensive roadmap for data engineering that covers various aspects of the field. This roadmap is divided into multiple parts to help you systematically learn and master the necessary skills. ### Part 1: Foundation 1. Basic Programming Skills: - Learn Python or Java, focu
anjali.gama

anjali.gama

19 likes

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