Answer:
1. A man Is expected to lead a life of dignity.
2. The tired students went back home after a long day of revelry.
3.An acknowledged expert was invited to tour our campus.
4. The woman was blessed by health and good fortune.
Answer:
Geologists use the following tests to distinguish minerals and the rocks they make: hardness, color, streak, luster, cleavage and chemical reaction. A scratch test developed by a German mineralogist Friedrich Mohs in 1822 is used to determine mineral hardness.
Tracing a model following numbered arrows on lined paper will best provide practice for automating letter recognition in kindergartners.
<h3>Who is a Kindergartners?</h3>
These are referred to as the group of children between the ages of 4 and 6 years old who attend kindergarten as a way of preparing them for nursery school. These individuals usually have a high sense of inquisitiveness and are fast learners especially when images are used to teach them about various topics in schools or at home.
Practices for letter recognition should be done with the use of tracing the models as it serves as a very important pre-writing activity and serves as the foundation of learning which helps to ensure that adequate knowledge of certain things are achieved.
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Answer:
These jobs are plentiful ,part time and short term
or the second one
but im pretty sure its the one i put down
Explanation:
The code chunk that lets the analyst create the phone_number column is: unite(customers, "phone_number", area_code, phone_num, sep="-"
<h3>What is a data frame?</h3>
A data frame refers to a two-dimensional array-like structure or table that is made up of rows and columns, which is typically used for storing data in R Studio using the R programming language.
In Computer programming, a data frame is a list of vectors that are all equal in length, and each column consist of values of one variable while each row consist of a set of values from each column.
<h3>The executable code in R Studio.</h3>
In this scenario, the code chunk that would be used to create a data frame that combines the two columns into a single column (phone_number) is:
- unite(customers, "phone_number", area_code, phone_num, sep="-"
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