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QuickDA - Python library for Quick Exploratory Data Analysis

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The QuickDA is an open-source EDA tool that helps to build a successful data model from the structured dataset. Understanding the business model, getting reliable data, and preparing the data for modeling is another huge exercise. It is important to find out what each of the data points signifies. Most of the time the modeling is failed because of poor insight into data due to improper exploration & analysis. The finest data should be derived only by cleaning the available data before building the model. Data cleaning is an art. To create the finest art, you need the finest data. Otherwise, it is just a stained one. There’s an old saying, “garbage in, garbage out”; Most of the time understanding data demand lots of coding to make it perfect for modeling. The open-source EDA library, " QuickDA "  (a 𝘭𝘰𝘸-𝘀𝘰π˜₯e python library for 𝘘𝘢π˜ͺ𝘀𝘬 𝘌𝘹𝘱𝘭𝘰𝘳𝘒𝘡𝘰𝘳𝘺 π˜‹π˜’π˜΅π˜’ 𝘈𝘯𝘒𝘭𝘺𝘴π˜ͺ𝘴 of any structured data