Data validation → editing data → entry data → tabulation
This enables better integration, consumption and analysis of larger datasets using advanced business intelligence with analytics solutions.
<h3>What is data preparation ?</h3>
Data collection, combination, structure, and organisation are all steps in the process of preparing data for use in business intelligence (BI), analytics, and data visualisation applications.
- Data prep is a common colloquial term for data preparation. It is also referred to as "data wrangling," while other professionals use that phrase more specifically to mean "cleaning, structuring, and transforming data." This usage distinguishes data wrangling from the data pretreatment stage.
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False, pushing a sofa on a hardwood floor would be easier than on carpet.
Answer:
industrialization and rapid human population growth.
Explanation:
Hope this helps
Answer:
(A) The shorter the wavelength, the more total energy the wave contains.
(B) The longer the wavelength, the less total energy the wave contains.
Explanation:
The wavelength (λ), frequency (f) and energy (E) are interrelated. This relationship between them is represented in the following equations:
λ = v/f and E = hf
Where;
λ = wavelength (m)
f = frequency (Hz)
E = energy (Joules)
v and h represents speed of light and Planck's constants respectively.
Combining both equations, E = hc/λ
This equation shows that ENERGY (E) is directly proportional to the frequency (f) but inversely proportional to the wavelength (λ). This means that "the shorter the wavelength, the more total energy a wave contains" and vice versa.
However, the higher the frequency, the more the total energy the wave contains and vice versa.
