Think about the data cleaning exercise, the tufte reading, and the tableau project. answer one of the following questions:

1) what did you find valuable/aggravating/interesting in the reading?

2) name some problems or concerns you had when cleaning your data set. what insights did you gain from the project.

3) share the data visualization you created for project 1 with the pums data (a screenshot or a snip) in your post. evaluate your visualization using the textbook's advice, calling out at least 3 strengths and/or weaknesses.

this is the data cleaning

age weight
10 102.2
6 61.5
7 71.9
3 32.3
4 999
4 42.2
5 52.4
7 72.3
4 41.9
10 102
5 51.7
8 81.5
10 10.3
10 102.3
10 102.5
7 71.8
9 91.6
3 32.4
3 32.1
8 81.5
5 52.3
na 41.8
3 31.8
8 82.3
9 92.1
6 999
3 31.5
4 42.5
8 82
6 62.5
7 71.9
4 41.9
8 82
7 72.2
4 42.1

d

step-by-step explanation:

hello and welcome!

so, when we see the words "proportional" along with a table, we need to know that we're looking numbers that divide by the same thing.

looking at this table, we simply have to do a trial and error, and divide to see which numbers have the same quotient. if you look at choice a & c, they both have equal quotients for three of the numbers, with one exception, so those can't be the answer. looking at b, there is no similarity, so that can't be it. then, we see d; if you divide all the numbers in the table, you'll see that they all divide by two, which is a proportional relationship, and our answer!

also, always remember that the x will always be the number that goes into y, and somewhere behind this table, is a formula. for this specific table, the formula would be:

since our x-value is being divided by two to get the y-value. and if they were to ask for more numbers in the series, this is the formula you would use to find them.

people grow faster than other people.

step-by-step explanation:

should you really be posting this isn't math boi.

both graphs increase on their domain

neither graph has a y-intercept

step-by-step explanation:

the following points can be visualized easily from the graph