Quick Response QR Code Definition, Types and advantages

This short article provide a brief introduction about the Quick Response (QR Code) definition, background of QR code, different types QR code and advantages of the QR code.

Q 1 What is QR Code?

Q 2 When did QR Code invent?

Q 3 What are the types of QR code?

Q 4 What are the main advantages of QR code?

Q 1 What is QR Code?

Quick Response (QR Code), Matrix barcode. It is also known as 2D barcodes, 2D codes or mobile codes. The QR codes typically appears as a small white square with black geometric shapes, thugh c

Quick Response (QR Code), Matrix barcode. It is also known as 2D barcodes, 2D codes or mobile codes. The QR codes typically appears as a small white square with black geometric shapes, thugh colored QR codes are also now being used. The Information hold by QR codes can be a URL, a Phone number, a sms messages, a V-card or the any text. These codes are referred as QR codes because these allow contents to be content to be decoded at high speed.

When did QR code invent?

The QR code system was invented in 1994 by Masahiro Hara from the Japanese company Denso Wave (Broko, 2011). The initial designed was influenced by the black and white pieces on a Go board. Its purpose was to track vehicles during the manufacturing; It was designed to allow high speed component scanning.

Q 3 what are the types of QR Codes?

There are two types of QR Code (Pathak, 2017)

1. Static QR codes
2. Dynamic QR codes

1. Static QR codes

Static QR codes are printed only one time and cannot be editable.

2. Dynamic QR codes

Dynamic QR codes are editable and changeable any time even after scanned and printing.

Q 4 What are the advantages of QR Code?

The following important advantages of QR codes.

1. Free and open source technology

QR codes are free and open source without paying any commercial and licensing charges.

2. High Storage capacity of the data

It has high storage capacity of the data so user can storage maximum data as per the required need.

3. Small space required for printing

QR codes occupy small space for the printing.

4. Reading capability of QR code from any direction

QR code can read from any direction, it can be read from scanner, cell phones, tablets and smart watches as well capability to restore partially data or content of damaged QR codes.

5. Internet Facility

QR codes also internet facilities to connect Wi-fi connectivity and etc.

6. Printing Process

QR code Printing process is so fast and least space occupy and can print 100 codes in a minutes and it can be readable through scanner and mobile camera as well.

How to Cite this article

Ali, M.Y. (12 Mar 2022). Quick Response QR Code Definition, Types and advantages. https://profileusuf.wordpress.com/2022/03/12/qr-code/

References

Borko, F. (2011). Hand Book of Augmented Reality. Springer. 341. ISBN 9781461400646 Archived retrieved on (04 March 2022).

Pathak, S.K. (2017). Application of QR Code Technology in Providing Library and Information Services in Academic Libraries. A case study Page 1-27, IIT Gandhingar http://events.iitgn.ac.in/2017/CLSTL/wpcontent/uploads/2017/03/1T7_SandeepPathak.pdf retrieved on (04 March 2022).

Comparison of Research Data Types by Muhammad Yousuf Ali

This small piece provide of writing provide about the difference about the different Research Data Types as under : –

a. Qualitative Data vs Quantitative Data

b. Nominal Data vs Ordinal Data

c. Discrete data vs Continuous Data

a. Qualitative Data vs Quantitative Data

In research prospective both qualitative and quantitative data are significant. as per the nature of research. In following table key difference are mentioned to understand the Qualitative and Quantitative data.

Qualitative Data	Quantitative Data
Types Qualitative data about the text, picture and symbol	Types Quantitative data its all about the number.
Report Qualitative Data reported in the Language of the Information/narration.	Report Quantitative Data reported through statistical analysis.
Methodology Qualitative Data collected though observations and interviews.	Methodology Quantitative Data collected through measuring the things Survey, questionnaire, test.
Measurement Quantitative Data cannot be measured.	Measurement Quantitative Data can be measured.

b. Nominal Data vs Ordinal Data

Nominal and Ordinal data are the Types of the Qualitative data which is parameter is set during the data collection and data analysis. The Comparison of of Nominal and Ordinal Data are mention as under

Nominal Data	Ordinal Data
Label the Variable Nominal data describe the name of the variable.	Order the Variable Ordinal Data keeps order/rank of the variable
Coding Nominal Data code the variable Gender, Color, Weather, Races 1. Male  2. Female	Ranking Ordinal distributed in in to the rank example like income, High Income, Middle Income, Low income, Level of Education Graduation, Master, PhD and etc.
Statistics Nominal data only apply minimum Statistics count and measure the Frequency of Distribution, Mode.	Statistics Ordinal data apply more Statistics count rather than nominal and measure the Frequency of Distribution, Mode, Median and order values to know.

c. Discrete Data vs Continuous Data

Discrete Data and Continuous Data are the type of Quantitative Data, but there are significant difference found in discrete and continuous data.

Discrete Data	Continuous Data
Discrete data is one that has clear spaces between values. Like 1,2,3,4…….	Continuous data is one that falls on a continuous sequence. 1, 1.1, 1.2, 1.3, 1.4……..
Nature Discrete data is Countable.	Nature Continuous Data is Measurable.
Frequency Un-grouped frequency distribution.	Frequency Grouped frequency distribution.
Example Student of a class, The number of employees in a company. Researcher can not break student in to 1.5, or employee 4.5 and etc. either 2 or 4 any specific numbers	Example Height of the students, Temperature, and speed of the vehicles every single decimal point is very important 4.1, 4.2, 4.3 feets, Temperature 98.5,98.6, 98.7, 98.8, 98.9,99.0

Cite This article :-

Ali, M.Y (05 Oct 2021). Comparison of Research Data Types by Muhammad Yousuf Ali.https://profileusuf.wordpress.com/2021/10/05/comparison-of-research-data-types-by-muhammad-yousuf-ali/

Big Data & Libraries by Muhammad Yousuf Ali

Big Data is a term used to describe a collection of data that is huge in size and yet growing exponentially with time. In short such data is so large and complex that none of the traditional data management tools are able to store it or process it efficiently. Characteristics of Big Data Big Data Characteristics has 3V’s Volume Velocity Variety Volume of the Data The amount of data matters. With big data, you’ll have to process high volumes of low-density, unstructured data. i.e. *5.4 Billion Search on Google search Engine per day *400 hours of content uploaded on YouTube each minute Velocity of the Data Velocity is the fast rate of Spreading anywhere else i.e. Internet, Social Media and etc. * Speed of a single tweets on Twitter * View of a snap shot on Instagram Variety of the Data Variety refers to the many types of data that are available. Data types, such as text, audio, pdf and video, databases and etc. Watch video to further know about it Big Data #BigData #DataAnaytics #DataScience #Researchdata #dataset #dataliteracy

There are two major tools which are used in libraries to represent library data visualization.
1) Infographics
2) Dashboard
According to the Oxford English Dictionary, an infographic (or information graphic) is “a visual representation of information or data”.
An infographic is a collection of imagery, charts, and minimal text that gives an easy-to-understand overview of a topic.

A data dashboard is an information management tool that visually tracks, analyzes and displays key performance indicators (KPI), metrics and key data points to monitor the health of a business, department or specific process.
#Dataviz #DataVisualization #BITOOLS #MARKETTRENDS
#Datavisualization #DataScientist #DataAnalytics #Infographic #InfoShare