Here you go with Data Explorer queryData Explorer query
SELECT TOP 100 ROW_NUMBER() OVER(ORDER BY Views DESC) AS Rank
, ID AS [User Link]
, Views, Reputation, Location
FROM USERS
Output:
╔═══════╦═════════════════╦═══════════╦══════════════╦═════════════════════════╗
║ Rank ║ User ║ Views ║ Reputation ║ Location ║
╠═══════╬═════════════════╬═══════════╬══════════════╬═════════════════════════╣
║ 1 ║ Jon Skeet ║ 639947 ║ 610427 ║ Reading, United Kingdom ║
║ 2 ║ Eric Lippert ║ 176837 ║ 249482 ║ Seattle, WA ║
║ 3 ║ Marc Gravell ║ 133054 ║ 423970 ║ Forest of Dean, UK ║
║ 4 ║ Jeff Atwood ║ 122506 ║ 27684 ║ El Cerrito, CA ║
║ 5 ║ BalusC ║ 115142 ║ 425228 ║ Willemstad, Curaçao ║
║ 6 ║ Darin Dimitrov ║ 106748 ║ 466354 ║ Sofia, Bulgaria ║
║ 7 ║ Bill the Lizard ║ 82214 ║ 124132 ║ Charlotte, NC ║
║ 8 ║ Hans Passant ║ 80089 ║ 389208 ║ Madison, WI ║
║ 9 ║ CommonsWare ║ 75888 ║ 322395 ║ Where You Least Expect ║
║ 10 ║ casperOne ║ 62554 ║ 45832 ║ Brooklyn, NY ║
║ ... ║ ║ ║ ║ ║
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