The primary purpose of data scientists is to find a suitable data science model for the massive amount of data. A data science model refers …
EDA is generally cross-classified. It can be done non-graphically or graphically and is further divided into either univariate or multivariate. We will look at the different types in this blog.
Exploratory data analysis is like doing a detective’s work of digging deep into piles of data to find clues that will aid the actual data analysis.
Exploratory data analysis (EDA) involves using statistics and visualizations to analyze and identify trends in data sets. The primary intent of EDA is to determine …
Imagine you and your friends decide to hang out and visit a place that you have never heard of before. In such a situation, you …
Maps help us to analyze geographical data by plotting 3D data on a 2D plane. They are usually used when we want to answer a spatial question using data.
We all have been learning about bar charts since our school days, but we will learn about some exciting variations and additions that we can perform to get more insights than a simple bar chart.
we will learn about scatter plots, which are simple plots giving us insights into trends of the data. We will go deeper with some advanced features that make scatter plots an invaluable gift for effective data visualization.
Top Data Analytics terms are explained in this article. Learn these to develop competency in Business Analytics. This will also help you in preparing for the IIBA CBDA Certification.
We can define exploratory data analysis as the essential data investigation process before the formal analysis to spot patterns and anomalies, discover trends, and test hypotheses with summary statistics and visualizations.