I have a dataframe as from csv:
| Address | Customer Number | Name |
| 1 /209 CORMACK ROAD | 1011.129 | Res Wingfield - Sa/Nt |
| 1 /209 CORMACK ROAD | 1011.129 | Rexel Port Wingfield |
| 1 /209 CORMACK ROAD | 7117484 | Rexel Port Wingfield |
| UNIT 1/209 CORMACK RD | SUEZWING | Rexel Port Wingfield |
| 1 STURT HIGHWAY | 1011.034 | Res Berri - Sa/Nt |
| 1 STURT HIGHWAY | 1011.034 | Rexel Berri |
| 1 STURT HIGHWAY | 50056061 | Rexel Berri |
| 1/120 BATT STREET | 1011.017 | John R Turk Penrith |
| 1/120 BATT STREET | 1011.017 | Jrt Penrith - N1 |
Alteryx is reading the same as:
Address Customer Number Name
1 /209 CORMACK ROAD 1011.129 Res Wingfield - Sa/Nt
1 /209 CORMACK ROAD 1011.129 Rexel Port Wingfield
1 /209 CORMACK ROAD 7117484 Rexel Port Wingfield
UNIT 1/209 CORMACK RD SUEZWING Rexel Port Wingfield
1 STURT HIGHWAY 1011.034 Res Berri - Sa/Nt
1 STURT HIGHWAY 1011.034 Rexel Berri
1 STURT HIGHWAY 50056061 Rexel Berri
1/120 BATT STREET 1011.0170000000001 John R Turk Penrith
1/120 BATT STREET 1011.0170000000001 Jrt Penrith - N1
(pardon the formatting as I have just copy pasted from the browse tool)
Please note the customer number changed from 1011.017 to 1011.0170000000001 which I dont want!
Also, I just cannot change it in the select tool to be decimals as there are text fields as well e.g. SUEZWING and they get deleted when I change it in the select tool.
What is the easiest way to maintain the sanity of the dataframe while porting it over in Alteryx?