Taking Data Apps into WebApp: Using Streamlit, Plotly, and Python

Introduction From the past 2 stories of a data and its journey to confess the insights, we have explored several areas and to point out few: We have done EDA based on descriptive and inferential part of the statistics to find strong evidences, relationships and facts about the data. We used some of valuable insights […]

Beyond and Within EDA: Taking EDA into Modelling

Beyond and Within EDA Introduction This blog is the continuation of the previous blog post A General Way of Doing EDA. Please follow that before reading this blog. Once we got the knowledge of the data like its properties and features, we can move ahead by taking that knowledge to make some sort of inference. […]

A General Way to Perform an EDA

EDA: Introduction Hello everyone, welcome back to another new blog where we will explore different ideas and concept one could perform while performing an EDA. In simple words, this blog is a simple walk-through of an average EDA process which might include (in top down order): Data Loading: From various sources (remote, local) and various […]

EDA on Nepali News Data

EDA on News Data Hello everyone, in this blog, we are going to perform EDA on Nepali News data that I scraped back in 2021. EDA is the basic step done in any Data Science project and here, we are going to perform simple analysis like counts of title, words and news in category. Import […]

R Exercise: Working with Data from JSON API and Performing EDA

Import any data from JSON API This was prepared on Google Colab. Please refer to this link for running R in Google Colab. We are using data from https://data.askbhunte.com/api/v1/covid. We are going to use below packages. jsonlite : It implements a bidirectional mapping between JSON data and the most important R data types. RCurl : […]

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