Posted on Oct 8 EDA is a data analysis technique that mainly focuses on on understanding the characteristics of a dataset. It involves using various statistical and visualization tools to explore data, identify patterns and uncover insights and relationships.Exploratory data analysis is an important step in the data analysis step. This is because it ensures that the data is really what it is claimed to be and that there are no obvious errors e.g missing values, outliers etc. EDA enhances accuracy, efficiency and reliability of data.Data visualization on the other hand represents the various techniques used to represent data visually through charts, tables, maps, graphs and other visual elements. These techniques usually help to represent complex data in a more simplified and understandable format.Common graphs used while performing EDAScatter PlotPair plotsHistogramBox plotsViolin PlotPerforming EDAWe are going to use a sample dataset which is the Haberman Dataset to perform EDA.We start by importing several python libraries'Table HeadersAge -Represents the age of the patients undergone the surgery. It ranges from 30 to 83. Year- Year in which the patients had the operation. It ranges from 1958-1969.Nodes - A lymph node, or lymph gland is a kidney-shaped organ of the lymphatic system, and the adaptive immune system.Status — Denoted by 1 and 2. 1 means the Patient survived 5 years or longer and 2 means the patient died within 5 years.From the above code, 225 patients survived 5 years or longer and 81 patients died within 5 years.Data Visualization plotsHelps us understand the dataset much better in a visual way.HistogramsThese are 2-D plots where the X axis can be divided into time intervals or numerical bin ranges. Histograms help in identifying patterns such as skewness, central tendencies, and outliers.From our example above:Bar ChartsBar charts are suitable for visualizing categorical or discrete data. They help understand trends.Scatter PlotsIt is a type of Plot which will be in a scatter format. It is mainly between 2 features. Here we will plot nodes Vs age and see if there is any linearity.Here blue and orange dots represent the survival status of the patients. blue represents the patient survived 5 years or longer and orange dot represents the patient died within 5 year.Pair PlotsThey display scatter plots for all possible pairs of continuous variables in a dataset. They provide a comprehensive view of the relationships between variables and are especially useful when exploring multiple variables simultaneously.From the above plot we can get some interesting facts. We can say that plot 6(Year vs Nodes)is readable compared to the other two but certainly we cannot make any concrete observations based on this graph. The plot 4, plot 7 and plot 8 are the inverted plots of plot 2, plot 3 and plot 6 respectively.Box PlotsBox plots tell us the percentile plotting which other plots cant tell easily. It also helps in detection of outliers.In conclusion, these are some basic plots used in EDA. It is always important to read and understand what the plot is saying. It is never good to skip EDA for a machine learning project.Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink. Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse NeNoVen - Oct 8 Tonny Kirwa - Oct 8 Suraj Kareppagol - Oct 8 Shingai Zivuku - Oct 8 Once suspended, lornam12 will not be able to comment or publish posts until their suspension is removed. Once unsuspended, lornam12 will be able to comment and publish posts again. Once unpublished, all posts by lornam12 will become hidden and only accessible to themselves. If lornam12 is not suspended, they can still re-publish their posts from their dashboard. Note: Once unpublished, this post will become invisible to the public and only accessible to Lorna Munanie. They can still re-publish the post if they are not suspended. Thanks for keeping DEV Community safe. Here is what you can do to flag lornam12: lornam12 consistently posts content that violates DEV Community's code of conduct because it is harassing, offensive or spammy. Unflagging lornam12 will restore default visibility to their posts. DEV Community — A constructive and inclusive social network for software developers. With you every step of your journey. Built on Forem — the open source software that powers DEV and other inclusive communities.Made with love and Ruby on Rails. DEV Community © 2016 - 2023. We're a place where coders share, stay up-to-date and grow their careers.