How to Use Data Science to Find the Best Seat in the Cinema (Part I)

From the most popular seats to the most popular viewing times, we wanted to find out more about the movie trends in **Singapore **. So we created PopcornData — a website to get a glimpse of Singapore’s Movie trends — by scraping data, finding interesting insights, and visualizing them.

Ever felt the crippling disappointment of finding out your favorite seat at the theater has been booked?

How popular really is your favorite seat?

On the website you can see how people watched different movies, at different halls, theaters and timings! Some unique aspects include heat maps to show the most popular seats and animations to show the order in which seats were bought. This 2-part article explains how we obtained the data for the website and our analysis of the data.

Scraping the Data

To implement our idea, the first and maybe even most crucial step was to collect the data. We decided to scrape the website of Shaw Theatres, one of the biggest cinema chains in Singapore.

Starting out with basic knowledge of scraping in python, we initially tried using python’s requests library to get the site’s HTML and BeautifulSoup library to parse it but quickly realized that the data we required was not present in the HTML we requested. This was because the website was dynamic —it requests the data from an external source using Javascript and renders the HTML dynamically. When we request the HTML directly, the dynamic part of the website is not being rendered, hence the missing data.

To fix this issue, we used** Selenium **— A web browser automation tool that can first render the website with the dynamic content before getting the HTML.

Issues With Selenium

Getting the selenium driver to work and fixing minor issues with it had a big learning curve. After countless StackOverflow searches and ‘giving up’ multiple times we managed to scrape through (pun intended) and get it to work.

The main issues we faced were:

  1. Scrolling to a specific portion of the screen to click a button so that the data will be found in the HTML
  2. Figuring out how to run headless Selenium on the cloud.
  3. After deploying the script on Heroku, some of the data was not being scraped when in fact the script was working properly on the local machine. After racking our brains we figured out that some pages loaded by Selenium were defaulting to the mobile version of the page. We fixed it by explicitly mentioning the screen size.

With Selenium and BeautifulSoup, we were finally able to get the data for all the available movie sessions for a particular day!

Sample movie session data:

{
   "theatre":"Nex",
   "hall":"nex Hall 5",
   "movie":"Jumanji: The Next Level",
   "date":"18 Jan 2020",
   "time":"1:00 PM+",
   "session_code":"P00000000000000000200104"
}

We were halfway there! Now we needed to collect the seat data for each movie slot to see which seats were occupied and when they were bought. After going through the Network tab of the website in the Developer Tools, we found that the seat data was being requested from Shaw’s API.

The data could be obtained by requesting the URL _https://www.shaw.sg/api/SeatingStatuses?recordcode=<session_code>_ where the session code was the unique code for each movie session which we had already scraped earlier.

The data we got was in JSON format and we parsed it and reordered the seats in ascending order of seat buy time to obtain an array of JSON objects where each object contained information about each seat in the movie hall, including seat_number, seat_buy_time, and seat_status.

#data-science #data-visualization #data analysis

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How to Use Data Science to Find the Best Seat in the Cinema (Part I)
Uriah  Dietrich

Uriah Dietrich

1618449987

How To Build A Data Science Career In 2021

For this week’s data science career interview, we got in touch with Dr Suman Sanyal, Associate Professor of Computer Science and Engineering at NIIT University. In this interview, Dr Sanyal shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.

With industry-linkage, technology and research-driven seamless education, NIIT University has been recognised for addressing the growing demand for data science experts worldwide with its industry-ready courses. The university has recently introduced B.Tech in Data Science course, which aims to deploy data sets models to solve real-world problems. The programme provides industry-academic synergy for the students to establish careers in data science, artificial intelligence and machine learning.

“Students with skills that are aligned to new-age technology will be of huge value. The industry today wants young, ambitious students who have the know-how on how to get things done,” Sanyal said.

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bindu singh

bindu singh

1647351133

Procedure To Become An Air Hostess/Cabin Crew

Minimum educational required – 10+2 passed in any stream from a recognized board.

The age limit is 18 to 25 years. It may differ from one airline to another!

 

Physical and Medical standards –

  • Females must be 157 cm in height and males must be 170 cm in height (for males). This parameter may vary from one airline toward the next.
  • The candidate's body weight should be proportional to his or her height.
  • Candidates with blemish-free skin will have an advantage.
  • Physical fitness is required of the candidate.
  • Eyesight requirements: a minimum of 6/9 vision is required. Many airlines allow applicants to fix their vision to 20/20!
  • There should be no history of mental disease in the candidate's past.
  • The candidate should not have a significant cardiovascular condition.

You can become an air hostess if you meet certain criteria, such as a minimum educational level, an age limit, language ability, and physical characteristics.

As can be seen from the preceding information, a 10+2 pass is the minimal educational need for becoming an air hostess in India. So, if you have a 10+2 certificate from a recognized board, you are qualified to apply for an interview for air hostess positions!

You can still apply for this job if you have a higher qualification (such as a Bachelor's or Master's Degree).

So That I may recommend, joining Special Personality development courses, a learning gallery that offers aviation industry courses by AEROFLY INTERNATIONAL AVIATION ACADEMY in CHANDIGARH. They provide extra sessions included in the course and conduct the entire course in 6 months covering all topics at an affordable pricing structure. They pay particular attention to each and every aspirant and prepare them according to airline criteria. So be a part of it and give your aspirations So be a part of it and give your aspirations wings.

Read More:   Safety and Emergency Procedures of Aviation || Operations of Travel and Hospitality Management || Intellectual Language and Interview Training || Premiere Coaching For Retail and Mass Communication |Introductory Cosmetology and Tress Styling  ||  Aircraft Ground Personnel Competent Course

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 iOS App Dev

iOS App Dev

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

'Commoditization Is The Biggest Problem In Data Science Education'

The buzz around data science has sent many youngsters and professionals on an upskill/reskilling spree. Prof. Raghunathan Rengasamy, the acting head of Robert Bosch Centre for Data Science and AI, IIT Madras, believes data science knowledge will soon become a necessity.

IIT Madras has been one of India’s prestigious universities offering numerous courses in data science, machine learning, and artificial intelligence in partnership with many edtech startups. For this week’s data science career interview, Analytics India Magazine spoke to Prof. Rengasamy to understand his views on the data science education market.

With more than 15 years of experience, Prof. Rengasamy is currently heading RBCDSAI-IIT Madras and teaching at the department of chemical engineering. He has co-authored a series of review articles on condition monitoring and fault detection and diagnosis. He has also been the recipient of the Young Engineer Award for the year 2000 by the Indian National Academy of Engineering (INAE) for outstanding engineers under the age of 32.

Of late, Rengaswamy has been working on engineering applications of artificial intelligence and computational microfluidics. His research work has also led to the formation of a startup, SysEng LLC, in the US, funded through an NSF STTR grant.

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Ananya Gupta

Ananya Gupta

1611381728

What Are The Advantages and Disadvantages of Data Science?

Data Science becomes an important part of today industry. It use for transforming business data into assets that help organizations improve revenue, seize business opportunities, improve customer experience, reduce costs, and more. Data science became the trending course to learn in the industries these days.

Its popularity has grown over the years, and companies have started implementing data science techniques to grow their business and increase customer satisfaction. In online Data science course you learn how Data Science deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions.

Advantages of Data Science:- In today’s world, data is being generated at an alarming rate in all time lots of data is generated; from the users of social networking site, or from the calls that one makes, or the data which is being generated from different business. Because of that reason the huge amount of data the value of the field of Data Science has many advantages.

Some Of The Advantages Are Mentioned Below:-

Multiple Job Options :- Because of its high demand it provides large number of career opportunities in its various fields like Data Scientist, Data Analyst, Research Analyst, Business Analyst, Analytics Manager, Big Data Engineer, etc.

Business benefits: - By Data Science Online Course you learn how data science helps organizations knowing how and when their products sell well and that’s why the products are delivered always to the right place and right time. Faster and better decisions are taken by the organization to improve efficiency and earn higher profits.

Highly Paid jobs and career opportunities: - As Data Scientist continues working in that profile and the salaries of different position are grand. According to a Dice Salary Survey, the annual average salary of a Data Scientist $106,000 per year as we consider data.

Hiring Benefits:- If you have skills then don’t worry this comparatively easier to sort data and look for best of candidates for an organization. Big Data and data mining have made processing and selection of CVs, aptitude tests and games easier for the recruitment group.

Also Read: How Data Science Programs Become The Reason Of Your Success

Disadvantages of Data Science: - If there are pros then cons also so here we discuss both pros and cons which make you easy to choose Data Science Course without any doubts. Let’s check some of the disadvantages of Data Science:-

Data Privacy: - As we know Data is used to increase the productivity and the revenue of industry by making game-changing business decisions. But the information or the insights obtained from the data may be misused against any organization.

Cost:- The tools used for data science and analytics can cost tons to a corporation as a number of the tools are complex and need the people to undergo a knowledge Science training to use them. Also, it’s very difficult to pick the right tools consistent with the circumstances because their selection is predicated on the proper knowledge of the tools also as their accuracy in analyzing the info and extracting information.

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