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Challenge #35: Data Cleansing Practice

cswanson21x
7 - Meteor

My Solution:

 

cswanson21xx_0-1606675981104.png

 

mbarot
6 - Meteoroid

Here's my solution 

 

1) Removing leading zeros

- Used the select tool to convert the string to integer

 

2) Trim leading zeros and/or descriptive text at the end

- Text to columns split on the colon delimiter

- Select tool used to choose the required columns and for renaming purpose.

 

3) Remove data values that end with ID

- Applied the formula tool using the TrimRight([ID],"ID")

 

4) If more than 8 chars then remove anything after 8. And, if only 6 chars add SC in the beginning.

- Text to column separated by colon delimiter 

- Formula tool applied using "SC" + [1]

- Select tool used to choose the required columns and for renaming purpose.

grazitti_sapna
17 - Castor

Hi,

 

Here is my take on this challenge.

 

 

Sapna Gupta
ldean
8 - Asteroid

Here is my solution.

BalOates
7 - Meteor

Just used a single formulae tool for each of these. 

thaodinh95
8 - Asteroid

Here is my solution! I was hoping to use RegEx tool for the 2nd one but end up using Text to Column tool instead.

DaisyJones
8 - Asteroid

Here is my Solution

Spoiler
#35.png

jags91
7 - Meteor

 My Solution

hannahc
8 - Asteroid

Here is my solution!

KOON
8 - Asteroid

here it is