Visualizations in Exploratory Data Analysis

Visualizations in Exploratory Data Analysis

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  EXPLORATORY DATA ANALYSIS DATA VISUALIZATION- reveal different patterns or hidden properties of the data.
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  Introduction Exploratory data analysisas the name implies is a technique used for exploring data. EDA is an iterative process that entails: 1. Generating questions about your data. 2. Searching for answers through visualizations, transformations, and modeling. 3. Using acquired answers to generate new questions. Most Data scientists consider EDA to be an art because it does not follow a formal process with strict rules (well I belong to that category 😁). This group of slides, however, is not exhaustive but covers many important ideas that will help you find the most common patterns in data using data visualization, and it is a recommended read especially for beginners.
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  Histogram Histograms show thedistribution of values a variable takes in a particular set of data. It’s particularly useful for seeing the shape of the data distribution patterns in some detail.
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  Box plot Box plotsshow the range of values a variable can take. It’s useful for seeing where most of the data fall, and to catch outliers. The red line in the center is the median, the edges of the box are the 25th and 75th percentiles, and the lone points by themselves are outliers.
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  Cumulative Distribution Function(CDF) CFDs show how much of the data is less than a certain amount. It’s useful for comparing the data distribution to some reference distribution.
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  Scatter plot Scatter plotsshow the relationship between two variables. It’s useful when trying to find out what kind of a relationship exists between variables.
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  Bar plot Bar plotsshow comparisons between discrete Categories. Thus, they are highly useful for exploring and summarising categorical data. One axis of the plot shows the specific categories being compared, and the other axis represents a measured value.
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  Line graph Line graphsare useful for visualizing trends over time. The vertical axis could represent any variable, but the horizontal axis ordinarily represents a time variable. The continuous line implies some quantity that increases sequentially (one that increases over time).
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  Thank you for yourtime. Oluwatobi Adefami