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.
China’s stock markets are some of the largest in the world, with total market capitalization reaching RMB 79 trillion (US$12.2 trillion) in 2020. China’s stock markets are seen as a crucial tool for driving economic growth, in particular for financing the country’s rapidly growing high-tech sectors.Although traditionally closed off to overseas investors, China’s financial markets have gradually been loosening restrictions over the past couple of decades. At the same time, reforms have sought to make it easier for Chinese companies to list on onshore stock exchanges, and new programs have been launched in attempts to lure some of China’s most coveted overseas-listed companies back to the country.
Among the actives, Ascendas REIT sank 0.64 percent, while CapitaLand Integrated Commercial Trust plummeted 1.42 percent, City Developments plunged 1.12 percent, Dairy Farm International tumbled 0.86 percent, DBS Group skidded 0.68 percent, Genting Singapore retreated 0.67 percent, Hongkong Land climbed 1.30 percent, Mapletree Commercial Trust lost 0.47 percent, Mapletree Logistics Trust tanked 0.95 percent, Oversea-Chinese Banking Corporation dropped 0.61 percent, SATS rose 0.24 percent, SembCorp Industries shed 0.54 percent, Singapore Airlines surrendered 0.79 percent, Singapore Exchange slid 0.30 percent, Singapore Press Holdings declined 1.03 percent, Singapore Technologies Engineering dipped 0.26 percent, SingTel advanced 0.81 percent, United Overseas Bank fell 0.39 percent, Wilmar International eased 0.24 percent, Yangzijiang Shipbuilding jumped 1.42 percent and Keppel Corp, Thai Beverage, CapitaLand and Comfort DelGro were unchanged.
