Data Interpretation for SBI PO Exam 2. Data Interpretation, the one of the easiest, time taking and scoring topic of the Bank Exams. But unfortunately in SBI PO Exam, the complete aptitude section will depend on Data Interpretation. So you should concentrate more on this area. In this post, we shall discuss about the basics Data Interpretation. Because, in reading comprehension, we have to study the passage and answer the questions followed by that passage. In the same way, in Data Interpretation, some data is given in the form of graphs, charts and tables followed by questions.
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We have to study, understand and analyze the data to solve the questions. Here we have to keep in mind that, even a 1. But you've to solve these problems IN TIME. So you have to practice well so that you can do the small calculations (like additions, subtractions, and simple multiplications) with a glance (see here for shortcuts in mental maths). Now lets have a look at some basic details of Data Interpretations. Data . Data is a collection of facts, such as values or measurements.
It can be numbers, words, measurements, observations or even just descriptions of things. Information . Information refers to data being arranged and presented in a systematic or an organise form, so that some useful inference can be drawn from the same. By data we generally mean quantities, figures, statistics, relating to any event. So what is this Data Interpretation ? The data can be presented either in the form of a table or a bar chart or a pie chart or a line graph or as a combination of one of these formats. It helps in reducing the time required for solving the questions.
Focus on only those aspects of the data that are necessary to. Remember that these questions are to.
Data Management, Exploration and Mining (DMX)Interns. Zhao Chang. Hi, everyone. My name is Zhao Chang. I am a second year Ph.
D student at University of Utah. My research interests include large- scale data management and data privacy. I like doing sports and reading.. Amit Chavan. Hi, I am Amit Chavan and I am a Ph. D student working on large scale data management at the University of Maryland, College Park.
My research is about building sustainable and scalable tools for data analysts when they interact with data. I have worked on problems related to version control of large datasets and processing queries on said versioned data. Besides database research, I enjoy sci- fi (in any form J) and photography. Download Gadget For Window Xp. More info: http: //www. Yeounoh Chung. Hello, I am Yeounoh Chung, a Ph. D student from Brown.
My general research interests span a variety of topics in data exploration; at Brown, my work has been on quantifying uncertainty in data exploration. At MSR, I will be working closely with Christian Konig and Wentao Wu.
For more information, please feel free to visit my page at https: //cs. Mohammad Dashti. I. I am originally from Iran, where I got my bachelor’s and master’s degrees, both from Sharif University of Technology in Tehran. Achieving high throughput for transaction processing with low latency while keeping the state strongly consistent is a hard problem. In my Phd, I am pushing the limits on this problem, mainly by applying compilation techniques in this context.
Kolya Malkin. I’m a second year Ph. D student at Yale University. My Bachelor’s degree is from the University of Washington.
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Although most of my waking hours are spent studying algebraic geometry and graph theory, you’re also likely to find me in a coffee shop or at the top of a mountain. Lukas Maas. My name is Lukas Maas and I’m a second- year Ph. D Student at Harvard University, where I am advised by Stratos Idreos. My research interests lie in the intersection of databases, compilers and software engineering. In particular, I am interested in how computer programs can help us design more robust and flexible data processing systems. My research interests include Query Reformulation, Top- k Indices, and Hidden Web Databases. Volleyball is what I love to play.
More info: http: //asudeh. Azade Nazi. I am 5th year Ph. D student in Database Exploration Lab (DBXLAB) at University of Texas at Arlington. I am interested in different areas like Data Mining, Information Retrieval & Web Mining, Hidden Graph, Database, and Social Network Analysis. This is my second internship with DMX group and I am really excited about it. In my free time, I like to play volleyball, ping pong, badminton, or attend group exercise classes. Tim Kiefer. I finished my Ph.
D in the Database Systems Group at TU Dresden, Germany last October. When I am not pursuing my research in the areas of load balancing, workload placement, or distributed data management systems in general, I love trampoline gymnastics and rock climbing (actually anything outdoors or sports related). Yi Lu. I am a first- year Ph. D student from MIT.
I am working with Prof. Sam Madden on adaptive data partitioning. I obtained my master degree from Chinese University of Hong Kong with focus on distributed graph processing systems. Besides research, I enjoy hiking, playing ping- pong and watching movies. Bruhathi Sundarmurthy. I am a Ph. D Student at the University of Wisconsin- Madison. I am interested in both database theory and database systems.
At school I work on problems related to uncertain and incomplete databases and at MSR I will be working on offline query scheduling. Besides work, I love watching and playing tennis, and I also enjoy playing the violin. Yue Wang. Hi, I. Gerome Miklau and Prof. I focus on data cleaning and completion time estimation. I love swimming and hiking. Reading and movie watching also bring me a lot of fun. My name is Yudian Zheng, a 3rd year Ph.
D. My research interests include a variety of topics such as leveraging the human intelligence to solve complex tasks (crowdsourcing), cleaning dirty data (data cleaning) and mining patterns from web data (data mining). Besides research, I love watching sports games (especially football) and films. I also like playing computer games with Chinese martial characters. You may refer to my website (http: //i. Erkang (Eric) Zhu.
I am a Ph. D student in Computer Science at the University of Toronto under the supervision of Professor Ren. Miller. I am interested in data management (searching, integration, and analytic) techniques for data on the Web and Open Data. I enjoy programming and maintain a number of open source projects. In addition to computer related activities, I love traveling, cooking and hanging out with friends and family. Ahmed El- Kishky.
I am a second- year Ph. D student in the Data Mining Group at the University of Illinois at Urbana- Champaign where I. Before joining UIUC, I obtained my Bachelor.