NotASuperGenius
Board Regular
- Joined
- Jun 17, 2002
- Messages
- 62
I am working on a spreadsheet that includes the location of ~80k global cities as defined by an internal system (Gov), Bing and Google. I would like the audit the data to identify entries where the internal system may be incorrect or where there is significant inconsistency between sources. Since the values are rarely identical, I added columns for the straight line distances between points to analyze. I would like to add a column (manually added in the example below) that describes how the sources compare to each other
- Are they all within 1Km of each other = Alignment
- Are they all in conflict (greater than 1KM) = Conflict
- Is Gov inconsistent with Bing & Google = Gov Variance
- Is Bing inconsistent with Gov and Google = Bing Variance
- Is Google inconsistent with Gov and Bing = Google Variance
* Note, not trying to determine which value(s) is/are correct. I am looking for a general idea of how location definition varies.
Sample data below. As always, thanks for the assist - NASG
- Are they all within 1Km of each other = Alignment
- Are they all in conflict (greater than 1KM) = Conflict
- Is Gov inconsistent with Bing & Google = Gov Variance
- Is Bing inconsistent with Gov and Google = Bing Variance
- Is Google inconsistent with Gov and Bing = Google Variance
* Note, not trying to determine which value(s) is/are correct. I am looking for a general idea of how location definition varies.
Sample data below. As always, thanks for the assist - NASG
Excel 2016 (Windows) 32 bit | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | G | H | I | J | K | L | M | N | |||
1 | Location | Gov | Bing | Gov vs. Bing | Gov vs. Google | Bing vs. Google | Alignment | Alignement Values | ||||||||
2 | Query | Lat | Long | Lat | Long | Lat | Long | (km) | (km) | (km) | ||||||
3 | New York, NY, US | 40.75348889 | -73.98096111 | 40.7820015 | -73.83170319 | 40.7127837 | -74.0059413 | 8.06 | 3.1 | 10.3 | Conflict | Aligned | ||||
4 | Corpus Christi, TX, US | 27.79628889 | -97.40355 | 27.79640961 | -97.40355682 | 27.8005828 | -97.396381 | 0.01 | 0.53 | 0.53 | Aligned | Conflict | ||||
5 | ATL, GA, US | 33.640772 | -84.447868 | 33.74831009 | -84.39111328 | 33.7489954 | -84.3879824 | 8.12 | 8.23 | 0.19 | Gov Variance | Gov Variance | ||||
6 | Macon, GA, US | 32.83608056 | -83.66258056 | 32.83967972 | -83.62757874 | 32.8406946 | -83.6324022 | 2.05 | 1.78 | 0.29 | Gov Variance | Bing Variance | ||||
7 | Puerto Vallarta, , MX | 20.61448889 | -105.2393111 | 20.60713959 | -105.2243729 | 20.653407 | -105.2253316 | 1.09 | 2.84 | 3.2 | Conflict | Google Variance | ||||
8 | Plano, TX, US | 33.04641111 | -96.74486944 | 33.0207901 | -96.69924927 | 33.0198431 | -96.6988856 | 3.18 | 3.24 | 0.07 | Gov Variance | |||||
9 | Halifax, NS, CA | 44.6488 | -63.57536111 | 44.64960098 | -63.59469986 | 44.6488625 | -63.5753196 | 0.95 | 0.01 | 0.95 | Aligned | |||||
10 | EWR, NJ, US | 40.69069 | -74.17741 | 40.69287872 | -74.18544769 | 40.6895314 | -74.1744624 | 0.45 | 0.17 | 0.62 | Aligned | |||||
11 | Milan, IT | 45.46421944 | 9.189780556 | 45.45199966 | 9.192770004 | 45.4654219 | 9.1859243 | 0.86 | 0.21 | 0.99 | Aligned | |||||
12 | New Orleans, LA, US | 29.95368889 | -90.07776111 | 29.95369911 | -90.07775116 | 29.9510658 | -90.0715323 | 0 | 0.42 | 0.41 | Aligned | |||||
13 | ||||||||||||||||
Sheet1 |