Data Analytics has been highly effective in tackling most of the real-world scenarios like enhancing customer experience, cost-reduction, targeted marketing, and it also helps in creating content strategies and developing products based on customer/client feedbacks.
“Data is a precious thing and will last longer than the systems themselves.” …
A time series is a sequence or series of numerical data points fixed at certain chronological time order. In most cases, a time series is a sequence taken at fixed interval points in time. This allows us to accurately predict or forecast the necessities.
Time series uses line charts to…
As we all know, data analytics is the process of collecting, engineering, analyzing of data's from an organization to gain insightful information which can help in the growth and development of the organization. Since the introduction of Data Analytics, various new terms and trends were introduced to us such as…
When we work on a huge dataset, we usually see a large number of variables scattered with huge amounts of variances among them which makes it difficult to work with and in turn reduces the efficiency of our model. When working with such kind of large datasets, it’s nearly impossible…
With the advancement of technology, companies have been able to produce and analyze more and more data every day. Large amounts of data are spewed out every second. …
ANOVA stands for analysis of variance. It is a collection of statistical models and their associated estimation processes used to analyze differences among group means in a sample.
People usually get confused regarding the working of ANOVA as it says “Analysis of variance” but in simple terms, ANOVA is used…
SQL stands for Structured Query Language and is mainly used for management of data in database. Almost every company on this planet stores data in the form of rows and columns or tables and these tables are stored in what is called a relational database management system (RDBMS).
SQL is…
With the evolution of technology and growth of data, The term Analytics has derived several meanings over the years. Depending on the type of data, size of data, method of working with data, type of queries that needs to be answered, Analytics has been grown into several types.
The magic…
GoogleVis is a package which acts as a link or an interactive platform between R and Google Charts API.
In R we can find a lot of visualization methods such as the histogram, bar plot, scatter plot etc.
GoogleVis provides us with more better, advanced charts such as the most…
What is Exploratory Data Analysis?
Exploratory Data Analysis is nothing but just like the name suggests, is the method of studying and analyzing the data thoroughly before the final decision-making process. In exploratory data analysis, the data is analyzed mostly visually to summarize various characteristics of the given data set.
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