Answer:
Kindly check explanation
Explanation:
Raw or original data are usually not readily usable largely because they are usually untidy. These include the data format, unnecessary inclusions in data such as signs and symbols and so on.
Data preprocessing involves the series of operations performed on data before using the to run analytics.
They include :
Data cleaning : This involves the removal of missing data points or filling them with appropriate values,
Data integration : when using data from different sources, this data would have to be combined or merged appropriately.
Data transformation : Data may need to be transformed in other make it usable for its intended purpose. Transformation techniques include standardized or normalized, one hot encoding and so on.
Data Reduction : this include principal componnent analysis and other attribute selection processes.
Analytics has proven to be an important tool in various sectors and industries such as business, technology with its ability to make model based prediction enabling business to move further ahead in production and Decison making, hence driving revenue and growth
Hand and eye coordination
The purpose of using different techniques in measuring or determining the quantities or measures such as densities is that it is important to be able to have basis and to make sure that the value you get is accurate-- even with the two different techniques used. This will help in comparing two variables and to understand whether the values you received are precise and accurate.
Assuming he owes $10,000 in medical bills, the total of Karen's current liabilities is $10,800.
<h3>Current liabilities</h3>
Using this formula
Total current liabilities=Medical bills+Public utility+Car payment
Where:
Medical bills=$10,000
Public utility=$500
Car payment=$300
Let plug in the formula
Current liabilities=$10,000+$500+$300
Current liabilities=$10,800
Inconclusion the total of Karen's current liabilities is $10,800.
Learn more about current liabilities here:brainly.com/question/2686492
This is false because consumer surplus declines because of the increase in price and reduction in quantity.
