In the initial times, when I started learning about data and data science, I am still in chaos regarding what is dataset.

Sometimes, it hard to go through the dataset or researching about dataset. More often, still clarity is missing. I started looking and searching and started applying and applied once in R programming language. I struggled and paused in the midst. But, still I have mind-set and curiosity to learn.

Very few questions, I started asking myself.

How to understand the dataset?

How to clean it?

How to go through large dataset?

How the dataset been formed/created?

How to identify the pitfalls and major mistakes?

I completely misunderstood. A dataset supposed to be only in Microsoft Excel format. I was completely wrong.

A dataset could be images, videos and even more precisely in Excel CSV and XLSX too.

Please correct me, if I am wrong, downloading, cleaning and sometimes manipulating, mining datasets and forming the appropriate algorithms (for example, Machine learning algorithms) with predictive analytics “the output will be derived.

So, here are some of the concept of dataset and let’s have a look and download some of the most common datasets.

What is a dataset?

A dataset, or data set, is simply a collection of data.

The simplest and most common format for datasets you’ll find online is a spreadsheet or CSV format — a single file organized as a table of rows and columns. But some datasets will be stored in other formats, and they don’t have to be just one file. Sometimes a dataset may be a zip file or folder containing multiple data tables with related data.

A data set consists of roughly two components. The two components are rows and columns. Additionally, a key feature of a data set is that it is organized so that each row contains one observation.

How are datasets created?

Different datasets are created in different ways. In this post, you’ll find links to sources with all kinds of datasets. Some of them will be machine-generated data. Some will be data that’s been collected via surveys. Some may be data that’s recorded from human observations. Some may be data that’s been scraped from websites or pulled via APIs.

Whenever you’re working with a dataset, it’s important to consider: how was this dataset created? Where does the data come from? Don’t jump right into the analysis; take the time to first understand the data you are working with.

Creating a Dataset

It’s easy to create a dataset on Kaggle and doing so is a great way to start a data science portfolio, share reproducible research, or work with collaborators on a project for work or school. You have the option to create private datasets to work solo or with invited collaborators or publish a dataset publicly to Kaggle for anyone to view, download, and analyze.

Types of Datasets

Kaggle supports a variety of dataset publication formats, but we strongly encourage dataset publishers to share their data in an accessible, non-proprietary format if possible. Not only are open, accessible data formats better supported on the platform, they are also easier to work with for more people regardless of their tools.

This page describes the file formats that we recommend using when sharing data on Kaggle Datasets. Plus, learn why and how to make less well-supported file types as accessible as possible to the data science community.

7 public data sets you can analyze for free right now.

1. Google Trends.

2. National Climatic Data Center.

3. Global Health Observatory data.


5. Earthdata.

6. Amazon Web Services Open Data Registry.

7. Pew Internet.


With respect.


If we wanna succeed, we should understand how failures are occurring and we must realize, “the more you fail, the more often you fail in the initial point of progress, the more you are willing to make a progress, even though you are failing, you will gonna succeed as soon as possible.

In order to get vivid in our progress, we should learn to fail faster.

If you jump and make a move as much as faster, our learning curve becomes deeper and wider. Or if you are slow in making progress and approaching shortcuts for success or just only having mind-set for success and you easily think, there is no room for failures.

I think, that is not okay. Because, the lessons from failures are far more different experiences than success.

Success is ultimately secondary.

Respected readers,

Please correct me, if I am wrong, success might give us the pleasure or a momentum. But failures are the most important one in our every progress. Primarily failures occurs and finally success comes.

Just allow yourself to fail faster and be volunteer to failures.

Please don’t mistake me, if you ready attain failures, each and every day your progress of doing work will becomes much stronger than ever. Even more, if you started swallowing the failures, your “attitude” becomes far stronger than ever.

Sorry, please correct me, if I am wrong or paraphrased. I read a quote by saying,

“Failures are the part of success”.

Failures seems inevitable in our progress and entire life. Rather than simply accepting the failures from your progress. March-A-Head towards failures.

Why am I saying March-A-Head towards it?

I am paraphrasing again, the more we get engaged in our progress and more attain failures, the more we are willing to learn from our progress in our failure road. Our progress will gets polished. We, definitely gonna fell that our progress will becomes stronger and stronger.

If we are hesitating from our initial progress or scared about results and feeling like “what if, if I cannot succeed? Oh, almighty, I couldn’t accept the failure any more. Why can’t I succeed? Unfortunately, our progress could not be fully sculptured. Our success could be delayed.

Sounds great, every human has a fabulous mind-set towards in the first step. Please, do not directly aim for success, be deliberate and fast in our progress and ready to accept the failures more and more.

I am consciously talking about failures and the lessons it will give us.

Nothing to worry to success will be there in our life.

“Fail faster and faster and attain success earlier”.

With respect.



This above pic, really touches the bottom of my heart and my conscious mind too. When I started searching pictures, the above pic comes across in the midst, I started thinking few minutes. Most probably, I should read every book minimum twice here-after. I had a pep-talk with myself and decided to read. That’s it. Because, whatever we are reading, it should stays in our heart and mind.

Most of the books which I read so-far, I do have a set of feeling, ‘gosh’, why this book ends. It’s not simply funny to say, the special experience/feeling while you reading or you are in the last page of the book. Then, to me, it seems inevitable to me to avoid this particular pic.

The next moment, I decided that, this could be the right moment to include this pic. Because quite honestly, I knew that reading a book one more time or even few times, makes us to dig deeper/clarity.

Let’s appreciate the story foremost and let’s appreciate the writing. Let’s do it.

With respect.