In #datascience, you must understand context. There are times at work where looking at the data alone didn't help me from solving the problem.
It doesn't matter if your domain is in marketing, healthcare, product, etc... You need to understand the context first before diving into the data. Without background information about how the data was generated, it becomes really difficult to make accurate assumptions on what your data will show.
Taking the time to understand the context will not only benefit you in your analysis, but you may even help your colleagues tackle the problem better.
When you are informed about the data and problem, you increase your value because now you're in a position to communicate and identify other potential problems.
So do this: On your next project, take the time to not just do EDA, but also document your understanding of the context behind the data.
This good practice will definitely help you in your career and is a valuable skill you can bring to any team. Context first, data second.
In #datascience, you must understand context. There are times at work where looking at the data alone didn't help me from solving the problem.
It doesn't matter if your domain is in marketing, healthcare, product, etc... You need to understand the context first before diving into the data. Without background information about how the data was generated, it becomes really difficult to make accurate assumptions on what your data will show.
Taking the time to understand the context will not only benefit you in your analysis, but you may even help your colleagues tackle the problem better.
When you are informed about the data and problem, you increase your value because now you're in a position to communicate and identify other potential problems.
So do this: On your next project, take the time to not just do EDA, but also document your understanding of the context behind the data.
This good practice will definitely help you in your career and is a valuable skill you can bring to any team. Context first, data second.
“To the extent it is used I fear it’s often for illicit finance. It’s an extremely inefficient way of conducting transactions, and the amount of energy that’s consumed in processing those transactions is staggering,” the former Fed chairwoman said. Yellen’s comments have been cited as a reason for bitcoin’s recent losses. However, Yellen’s assessment of bitcoin as a inefficient medium of exchange is an important point and one that has already been raised in the past by bitcoin bulls. Using a volatile asset in exchange for goods and services makes little sense if the asset can tumble 10% in a day, or surge 80% over the course of a two months as bitcoin has done in 2021, critics argue. To put a finer point on it, over the past 12 months bitcoin has registered 8 corrections, defined as a decline from a recent peak of at least 10% but not more than 20%, and two bear markets, which are defined as falls of 20% or more, according to Dow Jones Market Data.
The global forecast for the Asian markets is murky following recent volatility, with crude oil prices providing support in what has been an otherwise tough month. The European markets were down and the U.S. bourses were mixed and flat and the Asian markets figure to split the difference.The TSE finished modestly lower on Friday following losses from the financial shares and property stocks.For the day, the index sank 15.09 points or 0.49 percent to finish at 3,061.35 after trading between 3,057.84 and 3,089.78. Volume was 1.39 billion shares worth 1.30 billion Singapore dollars. There were 285 decliners and 184 gainers.
