🚀Types of SQL operators
"🚀Types of SQL operators
▶️EDA is used to investigate and understand the datasets before diving into more advanced analysis.
▶️Characteristics of data
▶️Aids in the formulation of hypotheses
▶️Identification of patterns or anomalies
The steps of EDA include:
📌Data Familiarization
▶️The first step in EDA involves understanding the dataset at hand.
▶️This includes exploring the size of the dataset, the types of variables it contains, and an overview of the data's statistical properties.
📌Data Cleaning
▶️Data quality is important!
▶️In this phase, Data Scientists identify and rectify missing values, outliers, and any inconsistencies within the dataset.
▶️This meticulous process ensures that subsequent analyses are based on robust, accurate data.
📌Preliminary Analysis
▶️Univariate analysis to learn about the distribution of the variables
▶️Bivariate analysis to uncover potential associations or dependencies
▶️Multivariate analysis like PCA to reduce
Visualization
▶️Visual representations, such as heatmaps, bar charts, and scatter plots, are integral to EDA.
📌Hypothesis Formulation
▶️EDA often leads to the formulation of hypotheses about the data, which can then be rigorously tested through statistical methods.
▶️Finally, the insights garnered through EDA are documented and communicated effectively.
▶️This includes clear explanations, visual aids, and actionable recommendations for further analysis or decision-making.📊 Follow Infinite Data for more interesting content on data!
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