EDA in data analytics:
EDA in Data Analytics: What is EDA in data analytics? " EDA stands for Exploratory Data Analysis, and it is a crucial step in the data analytics process. EDA involves examining and summarizing data sets to gain insights, discover patterns, and identify relationships among variables. The main objective of EDA is to understand the data and its underlying structure before applying more advanced analysis techniques." During EDA, analysts employ various statistical and visualization techniques to explore the data. Some common techniques include: Summary statistics: Calculating measures such as mean, median, mode, standard deviation, and quartiles to understand the central tendency, spread, and distribution of the data. Data visualization: Creating charts, graphs, and plots to visualize the data, including histograms, scatter plots, box plots, and heatmaps. Visualizations help in identifying patterns, outliers, and relationships between variables. Data cleaning: Identifying and...