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D'Amore McKim School of Business Northeastern University

MBA at Northeastern University

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Northeastern University

MPS in Applied AI at Northeastern University

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New York University

BS Information Systems & Technology at NYU USA

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New York University

BS Leadership and Management at NYU USA

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Drexel University

MS Robotics and Autonomy at Drexel University

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Drexel University

Master of Business Administration

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Northeastern University - College of Engineering

MS in Data Analytics Engineering at Northeastern University - College of Engineering

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DAmore McKim School of Business Northeastern University

MS Quantitative Finance at Northeastern University

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Northeastern University

BS Analytics at Northeastern University USA

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Northeastern University

BS IT at Northeastern University USA

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Clark University

MS Computer Science at Clark University

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DAmore McKim School of Business Northeastern University

MS Business Analytics, Northeastern University

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Yeshiva University

MS Biotechnology Management & Entrepreneurship at Yeshiva

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Northeastern University

MPS in Analytics at Northeastern University USA

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Northeastern University

MPS in Informatics at Northeastern University USA

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University of Detroit Mercy

Master of Health Services Administration at UDM

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Illinois Institute of Technology

BS Astrophysics at IllinoisTech Chicago

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MA Sustainable Urban Development

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Clark University

MBA at Clark University

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MS Computer Engineering at Drexel University

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DAmore McKim School of Business Northeastern University

MS Fintech Management at Northeastern University

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Northeastern University - College of Engineering

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Drexel University

MS in Internet of Things at Drexel University

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Yeshiva University

MS CS at Yeshiva University

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BS Biotechnology at Clark University, USA

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Washington State University

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BS Biotechnology at Northeastern University USA

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Illinois Institute of Technology

BS Computer Engineering at IllinoisTech Chicago

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BS Computer Science at Colorado State, USA

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Clark University

MS IT at Clark University

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MS in Project Management (USA)

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MS in I/O Psychology at Touro University USA

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Clark University

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DAmore McKim School of Business Northeastern University

MS Business Analytics at Northeastern University

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Clarkson University

MS Applied Data Science at Clarkson University

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Northeastern University

MPS Digital Media at Northeastern USA

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MS AI at Touro University USA

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Touro University

MBA at Touro University USA

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DePaul University

MA Digital Communication & Media Arts at DePaul University

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Master of Business Administration at DePaul

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Drexel University

Master of Business Administration at Drexel University

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Northeastern University

BS Psychology at Northeastern University USA

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Northern Arizona University

BS Business Analytics at NAU

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Colorado State University

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Clark University

BS Cybersecurity at Clark University, USA

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Colorado State University

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Utica University

Master of Business Administration at Utica University

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City University of Seattle

MBA at CityU Seattle

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Clarkson University

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Utica University

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University of Detroit Mercy

MHSA & MBA Dual Degree at University of Detroit

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University of West Florida

MS IT at UWF, Florida

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Central Washington University

MS IT Management at Central Washington University

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Clark University

MS PM at Clark University

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DePaul University

MS Supply Chain Management at DePaul University

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Touro University

MS Technology Leadership & PM, Touro University

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MIT Open Learning

Universal AI Program by MIT

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Yeshiva University

MS in Digital Marketing and Media at Yeshiva University, USA

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UMass Dartmouth

MS in Data Science at UMass Dartmouth

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University of West Florida

MS Data Science at UWF, Florida

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University of Nevada, Las Vegas

MS Data Analytics at UNLV

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Touro University

MS DA at Touro University USA

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Troy University

MS CS at TROY University

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City University of Seattle

MS CS at CityU Seattle

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University of Nevada, Las Vegas

MS in Management Information Systems at UNLV

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Northern Arizona University

BS Software Engineering at NAU, USA

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WHU - Otto Beisheim School of Management

Master of Science in Management

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WHU - Otto Beisheim School of Management

Master of Science in Finance at WHU

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WHU - Otto Beisheim School of Management

Master of Science in Entrepreneurship

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WHU - Otto Beisheim School of Management

Master of Science in Business Analytics

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  • Online6 months
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International School of Management

MSc in Business Intelligence & Data Science

  • CountryGermany
  • Online6 months
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International School of Management

BSc Applied Data Science & Business Analytics, ISM

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International School of Management

BS in International Management

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  • Online1 year
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Munich Business School

MBA General Management

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Munich Business School

Master in Finance (M.A.)

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  • Online7 months
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SRH University of Applied Sciences

MBA 90 ECTS at SRH Germany

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  • Online6 months
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SRH University of Applied Sciences

MA International Business & Leadership at SRH Germany

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  • Online6 months
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International School of Management

MSc International Logistics & Supply Chain Management

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International School of Management

MSc International Management, ISM Germany.

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  • Online6 months
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University of Applied Management

MS Computer Science 90 ECTS at UAM Germany

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International School of Management

Master of Business Administration 90 ECTS

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  • Online6 months
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International School of Management

M.A. Strategic Marketing Management at ISM Germany

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International School of Management

MSc Finance

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Code University of Applied Sciences

B.Sc. Software Engineering

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International School of Management

MSc Psychology & Management at ISM

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Touro University, Germany

MS in Data Analytics

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  • Online6 months
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Code University of Applied Sciences

B.A. Business Management & Entrepreneurship

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  • Online1 year
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University of Applied Management

Executive MBA 60 ECTS at UAM Germany

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  • Online6 months
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University of Applied Management

MBA 90 ECTS at UAM Germany

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  • Online6 months
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SRH University of Applied Sciences

MA International Hospitality Management at SRH Germany

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University of Applied Management

BA Management at UAM Germany

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University of Applied Management

BEngg. Digital Engineering at UAM Germany

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University of Applied Management

BSc Software Developement at UAM Germany

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Touro University, Germany

MBA at Touro University Germany

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  • Online6 months
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International School of Management

MBA 90 ECTS at ISM Germany

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International School of Management

MSc Business Intelligence & Data Science at ISM

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International School of Management

MSc Business Intelligence & Data Science at ISM Germany

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  • Online8 months
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International School of Management

MSc Business Intelligence and Data Science

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International School of Management

MSc International Logistics & Supply Chain Management at ISM Germany

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International School of Management

MSc International Logistics & Supply Chain Management, ISM Germany

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International School of Management

MSc International Management at ISM Germany

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International School of Management

MSc International Management, ISM Germany

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International School of Management

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Paris School Of Business

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Paris School Of Business

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Paris School Of Business

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Paris School Of Business

MSc Supply Chain Management at PSB France

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Excelia Business School

MSc in Sustainable Global Supply Chain Management at Excelia

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Excelia Business School

MSc in Sustainable Luxury and Creative Industries at Excelia

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EDC Paris Business School

MSc AI in Business Analytics at EDC Paris Business School

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EDC Paris Business School

MSc Digital Marketing & Data Driven Strategy at EDC Paris Business School

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EMLV Business School

MSc Digital Business Analytics at EMLV France

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EMLV Business School

MSc Luxury and Innovation Management at EMLV France

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Excelia Tourism School

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EDC Paris Business School

MSc Hospitality & Tourism Management at EDC Paris Business School

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EDC Paris Business School

MSc International Finance at EDC Paris Business School

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KEDGE Business School

MSc Data Analytics for Business at KEDGE, France

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Excelia Business School

MSc Digital Marketing at Excelia

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KEDGE Business School

MSc Global Supply Chain Management at KEDGE, France

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KEDGE Business School

MSc Marketing at KEDGE, France

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EDC Paris Business School

MSc International Business at EDC Paris Business School

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EDC Paris Business School

MSc Supply Chain Strategy at EDC Paris Business School

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ESDES Business School

MSc Impact Finance & Fintech Management at ESDES France

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ESDES Business School

MSc Circular Economy & Sustainable Innovation at ESDES France

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ESDES Business School

MSc Sustainable Tourism & Event Management at ESDES France

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KEDGE Business School

MSc Data Analytics for Business at KEDGE France

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Aivancity School for Technology, Business and Society

MSc Artificial Intelligence Engineering

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Aivancity School for Technology, Business and Society

MSc Data Engineering

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American Business College

Bachelor of Business Administration at ABC Paris

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Paris School Of Business

MSc AI, Business Analytics & Cybersecurity at PSB France

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Northeastern University, London

MSc Applied Artificial Intelligence

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Dual Master’s in Global Business and Artificial Intelligence

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MSc Project Management at Northeastern London

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University of Sunderland

Master of Business Administration at Sunderland, UK

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MSc Data Science with Work Placement at Roehampton

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MSc Global Business Management at Roehampton

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London Metropolitan University

BSc Computer Science (Hons) at LMU

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BSc Data Science (Hons) at LMU

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London Metropolitan University

BA Business Management (Hons) at LMU

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St Marys University Twickenham London

MSc International Business Management at St. Mary's London

  • CountryUK
  • Online11 months
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Table Chart IELTS Task 1 : Here is Your Guide to Prepare

By upGrad Abroad Team

Updated on Apr 13, 2023 | 1.7K+ views

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The International English Language Testing System (IELTS) tests a candidate on the basis of their skills in reading, writing, speaking and listening. The writing section consists of Task 1 and Task 2. Task 1 requires the candidate to write 150 words on the visual information provided in the form of a table, graphs, chart, or table. An important IELTS writing task is the Table Chart. The IELTS task 1 table chart can have one or more tables with numeric data, which needs to be described while taking care of the word limit. The table usually has categories mentioned on the top row and the left-most column.

On the other hand, in IELTS writing task 2, candidates are presented with a point of view, argument, or problem, on the basis of which they need to write a 250-word essay. 

IELTS Task 1 Table Chart : Sample

IELTS Writing Task 1

The table demonstrates the number of native speakers of six languages along with the number of speakers knowing an additional language. The languages are organized in the descending order of the “Number of native speakers”. The six languages included in this table are Mandarin Chinese, Hindi, Spanish, English, Arabic, and Portuguese.

We can see that the total number of Mandarin Chinese speakers is much higher than all the other languages, which is 1,090 million. The native speakers of Mandarin Chinese are 900 million and 190 million people speak the language as an additional language.

The total number of Hindi speakers is 490 million, while the total number of Spanish speakers is 429 million, which is more or less equal. However, the number of Hindi speakers (120 Million) as an additional language is much more than Spanish speakers (70 million) as an additional language.

Interestingly, the number of speakers who speak English as an additional language exceeded the number of native English speakers. The number of native English speakers is 339 million, while the number of speakers with English as an additional language is 603 million.

The number of native speakers of Portuguese and Arabic is almost the same, which is 203 million and 206 million, respectively. However, the number of speakers who know it as an additional language is noticeable. Speakers for Arabic as an additional language is 24 million, whereas, for Portuguese, it is 10 million.

IELTS Writing Task 1 Table Chart Sample Answers

The table illustrates a comparative study of the problem areas of students in two primary schools in 2005 and 2015. Some of the students faced problems in reading ability, handwriting, spelling, listening skills, verbal expression of ideas, concentration in lessons, and following instructions. 

Overall, the percentage of students in School A who faced different educational problems was more than the number in School B. About 42% of students of School A reported problems in following instructions, contrary to the 6% of students of School B. The percentage of students who could not concentrate in their lessons was 40% in School A, whereas it was 15% in School B. 

While the percentage of students with problem areas in following instructions in School A decreased drastically from 42% to 18%, it increased amongst the students of School B from 6% to 12%. This means the teachers in School A have done a commendable job in assisting the students in concentrating on lessons. This has been reflected in the decrease in the percentage of students facing problems in concentration in lessons to 18% from 40%. 

While the percentage of students in School A facing educational problems has declined in most aspects, it has shown a slight increase in difficulty to read from 22% to 23%.

Though the percentage of problem areas in School A was alarming in 2005, over a period of 10 years, this percentage has reduced. From the table, it is clear that the percentage of students facing problems in writing the correct spelling has reduced in School A from 30% to 25%. The problem has increased for students of School B from 5% to 10%. 

Recommended Reads for Writing Task:

IELTS Essay on Advantages and Disadvantages of Fast Food

Environmental Problems and Solutions Essay IELTS

Advantages and Disadvantages of Tourism IELTS Essay

When a Country Develops It's Technology IELTS Essay

Difference Between Computer Based and Paper Based IELTS

Art is Considered an Important Part of a Society IELTS Essay

Should Smoking be banned in Public Places Essay

Prevention is better than Cure IELTS Essay

How Much Time is Required for IELTS Preparation

Download E-Books for IELTS Preparation

IELTS IDIOMS GUIDE
ielts sample essays

IELTS Writing Task 1 Table Chart Structure

The IELTS Writing Task 1 table chart structure can be divided into three parts, which are as follows:

Introduction: Paraphrase the given statement and explain what the table is showing.

Overview: Summarize the main/interesting feature of the table, such as the high or low points.

Body: It should consist of two body paragraphs to discuss the graph/table/diagram in detail.

Conclusion: Summarize the key points, meaning, and the major areas of the visual information.

IELTS Table Chart Vocabulary

Students should know a variety of synonyms for a word to interpret the table provided in a table/chart/graph. For instance, instead of using ‘increase’, they can write upsurge, roar, rise, or spike. Since a student is marked on the basis of four assessment criteria in the IELTS Writing section - Task Achievement, Coherence and Cohesion, Lexical Resource, and Grammatical Range and Accuracy. The lexical resource assesses the candidate based on their capability to use a wide range of vocabulary with natural and sophisticated control of lexical features. Using the correct vocabulary, comparing & contrasting data, and describing the main idea are some ways by which an aspirant can ensure a high band score in Writing Task 1. They are required to use a wide range of vocabulary and not to repeat words or phrases unless there is no alternative. 

The tense forms that can be used in different situations for IELTS Table Chart Vocabulary are as follows:

  • If the graph includes data about the years that have already passed, use the Past Tense 
  • If no mention of the time period is made, use the Present or Past Tense
  • If the graph is about past, present, and future projections, use Past, Present, and Future Tense, respectively

Tips for IELTS Writing Task 1 Table Chart

  • The categories of the data should be included in the overview.
  • Move-in ascending or descending order describing each category
  • Include the numerical when making comparisons
  • Group the key data and provide average value where applicable
  • The range should ideally be between 150 to 200 words.

Test takers can practice with the trainers and make sure to get feedback on their answers to improve. There is not only one right way to answer these questions, but you should try to align the answer with model answers instead.

Recommended Reads:

IELTS Band Score Chart How to get 8 band in IELTS Types of IELTS Exam
Average IELTS Scores IELTS Score for USA Study in USA Without IELTS
Study in UK Without IELTS IELTS Reading Band Score IELTS Bar Graph
Writing Task 1 Line Graph Collocation for IELTS IELTS Reading Tips

 

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Download IELTS Sample Papers

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Frequently Asked Questions

How to write a table chart in IELTS?

To write a table chart in IELTS, students need to follow certain tips such as analyzing the question, picking out the main information, writing an introduction and overview, and highlighting the details in the paragraph. 

To write a high-scoring essay, learning how to proceed with the planning stage is essential. After analyzing the task 1 IELTS table chart, look out for main features like units of measurement, time period, notable similarities, or prevalence of a trend. In the introduction, simply paraphrase the question by using synonyms or changing the sentence structure. In the overview, brief the reader about any comparison that can be spotted. The third and fourth paragraphs, which are the body of Writing Task 1, should include a detailed interpretation of the information presented in the table.

How to analyze IELTS Table Chart for Task 1 Writing?

To write an effective response for Writing Task 1 of IELTS, properly analyzing the tables is a must. The analysis of the IELTS Task 1 Table Chart can be done by reflecting the relevant information, then summarizing it and identifying the main features, and drawing out comparisons.

How do you describe a table chart for an essay in task 1?

Most students make the mistake of dedicating the whole allocated time for IELTS Writing task 1. However, the first two minutes should be dedicated to analyzing the question in the IELTS table chart, followed by identifying the main features and drawing comparisons. Once the analysis and recognition of the main features of the table chart are done, start writing. Divide the essay into an introduction, overview, and two paragraphs to highlight the key features.

What set of vocabulary is used in Writing Task 1?

The vocabulary that is commonly used in IELTS generally includes academic words, topic vocabulary, idioms, collocations, and phrasal verbs. An academic word list contains common words found in academic texts. Topic vocabulary has words and phrases that generally come in the test and is useful if students know about them because the more complex words they know, the better it would be to understand the context. 

For instance, knowing the vocabulary that can be used in topics like diet, health, and fitness, information technology, advertising, environment, crime, science, education, etc., can prove very helpful. Idioms are a group of words whose meaning cannot be deduced from the individual words, for instance, ‘Over the moon’ or ‘once in a blue moon’ and others. Collocation is the set of words that can be placed together so as to connect them with other words.

What is vocabulary in IELTS Writing Section?

Vocabulary comprises 25% weightage in the marking system of the IELTS Writing Section. It comes under the ‘lexical resource’ parameter of assessment of IELTS writing. If a candidate is able to demonstrate a flexible use of a wide range of vocabulary, they will be able to score high on the criteria of the lexical resource. If students are able to use a wide range of vocabulary and are able to use it in the correct place flexibly, their vocabulary is considered to be strong.

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