Exploratory Data Analytics PDF
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Uploaded by HarmlessFallingAction
Leeds Beckett University
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Summary
This document discusses exploratory data analysis (EDA). It's an approach used to understand and summarize data, and to answer specific questions about the data. This presentation also covers different types of data analysis (e.g., descriptive, predictive, prescriptive).
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Exploratory Data Analytics Exploratory Data Analysis (EDA) Exploratory Data Analysis (EDA) helps to answer all these questions, ensuring the best outcomes for the project. It is an approach for summarizing, visualizing, and becoming intimately familiar with the important char...
Exploratory Data Analytics Exploratory Data Analysis (EDA) Exploratory Data Analysis (EDA) helps to answer all these questions, ensuring the best outcomes for the project. It is an approach for summarizing, visualizing, and becoming intimately familiar with the important characteristics of a data set. The data Variables and dimensions The data - EDA Summary statistics for each variable MAX, MIN, AVG, MEAN Relationships between variables Interaction between fields Reducing dimensions GOAL To get an understanding of the data and To use it to answer questions Lots of ways to reach the goal 1. Import the data 2. Get a feel of the data ,describe the data,look at a sample of data like first and last rows 3. Take a deeper look into the data by querying or indexing the data 4. Identify features of interest 5. Recognise the challenges posed by data - missing values, outliers 6. Discover patterns in the data Data Analysis, Data Analytics There are many different types of analytics, for example: Descriptive Predictive Prescriptive Descriptive analytics Descriptive analytics – what happened (https://www.youtube.com/watch?v=K74_FNnlIF8) Exercise Open the Data Set We will consider strategy Work in pairs to identify KPIs, Objectives, reports for the case study to support a strategy. List reports to support the above. Consider and identify reports to support the above Planning Analysis Descriptive Analysis Diagnostic Analysis Predictive Analysis Prescriptive analysis Use the template from the assignment to consider the data to support reports and suitable visuals Data Problem solving Hypothesis Investigation Give an example of each and how does data assist? Reports? Type of analysis? Thank you Questions, comments, reflections?
