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 : […]

How to do Data Science Project

Data science project can be a challenging but rewarding process. By following the steps we can use in this blog, you can work through the project in an organized and effective way, and ultimately arrive at a solution to your problem. Previously, we wrote blogs on many machine learning algorithms (Classification, Predication) as well as […]

News Classification with Simple Neural Network

News Classification with Simple Neural Network is one of the application of Deep Learning. And here in this part of the blog, I am going to perform a Nepali News Classification. Before jumping into the main part, I would love to share some of my previous contents based upon which this blog has been written. […]

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 […]

Python for Stock Market Analysis: Getting Started into Timeseries Analysis

Introduction This is the part 4 of our Python for Stock Market Analysis series and here, we will be getting started with timeseries analysis. This part will not be exploring any prediction techniques yet as we will explore fundamental concepts in timeseries. Making Things Ready Here, we will import Pandas for data analysis, install as […]

Central Tendency vs Dispersion

Hello everyone, welcome back! In this blog we will again focus into the some of widely used central tendency techniques and then measure of spread in the Statistical Analysis of the EDA part. If you are looking for a brief walk-through of a Statistical Data Analysis in Data Science please refer to this blog of […]

Scroll to top
Subscribe to our Newsletter

Hello surfer, thank you for being here. We are as excited as you are to share what we know about data. Please subscribe to our newsletter for weekly data blogs and many more. If you’ve already done it, please close this popup.



No, thank you. I do not want.
100% secure.