If you’ve ever worked on a personal data science project, you’ve probably spent a lot of time browsing the internet looking for interesting datasets to analyze. It can be fun
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The field of Data Science is constantly growing, enabling businesses to become more data-driven with better insights and knowledge. Although there are thousands of websites that provide good information if
5 Steps to Improve Your Data Visualization In Excel
You can display your data analysis reports in a number of ways in Excel. However, if you know the right data visualization technique your data analysis results can be more
10 Effective Way To Clean Data On Excel
In this day and age, our dependence on data is overwhelming. Thanks to our cellphones and laptop, a halo of data surrounds our life. Data is nothing but a piece
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If you’re a data scientist or data analyst, 80% of your time you invest in three important steps of data analysis i.e. Data Cleaning, where you transform, rearrange the data to give it
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COVID-19 has indirectly raised the issue of degrowth. The forced closure of sectors of the economy has forced people to consider what consumption is really essential. In Covid, we have
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Algorithms are used by all of us all the time with or without our direct knowledge. They have applications in many different disciplines, from math and physics to, of course, computing. These are the most important
If You Only Read A Few Books This Year Read These
My reading list is always growing instead of shrinking, even though I average reading a book per month. Reading is what inspires me most but also what teaches me the
What is Japanification?
The central idea behind the word “Japanification” is that an economy loses altitude in its growth trajectory for an extended period. It is associated with low-interest rates, low inflation and
Top 5 Nobel Prize-Winning Economic Theories Everyone Should Know
The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel was established in 1968 by the Bank of Sweden, and it was first awarded in 1969, more than