bigmac
430 rows where "date" is on date 2016-07-01 sorted by dollar_price
This data as json, CSV (advanced)
Link | rowid | date | currency_code | name | local_price | dollar_ex | dollar_price ▼ |
---|---|---|---|---|---|---|---|
947 | 947 | 2016-07-01 | EGP | Egypt | 23.0 | 8.87995 | 2.5901046740128 |
2277 | 2277 | 2016-07-01 | EGP | Egypt | 23.0 | 8.87995 | 2.5901046740128 |
3607 | 3607 | 2016-07-01 | EGP | Egypt | 23.0 | 8.87995 | 2.5901046740128 |
4937 | 4937 | 2016-07-01 | EGP | Egypt | 23.0 | 8.87995 | 2.5901046740128 |
6267 | 6267 | 2016-07-01 | EGP | Egypt | 23.0 | 8.87995 | 2.5901046740128 |
7597 | 7597 | 2016-07-01 | EGP | Egypt | 23.0 | 8.87995 | 2.5901046740128 |
8927 | 8927 | 2016-07-01 | EGP | Egypt | 23.0 | 8.87995 | 2.5901046740128 |
10257 | 10257 | 2016-07-01 | EGP | Egypt | 23.0 | 8.87995 | 2.5901046740128 |
11587 | 11587 | 2016-07-01 | EGP | Egypt | 23.0 | 8.87995 | 2.5901046740128 |
12917 | 12917 | 2016-07-01 | EGP | Egypt | 23.0 | 8.87995 | 2.5901046740128 |
976 | 976 | 2016-07-01 | VND | Vietnam | 60000.0 | 22300.0 | 2.69058295964126 |
2306 | 2306 | 2016-07-01 | VND | Vietnam | 60000.0 | 22300.0 | 2.69058295964126 |
3636 | 3636 | 2016-07-01 | VND | Vietnam | 60000.0 | 22300.0 | 2.69058295964126 |
4966 | 4966 | 2016-07-01 | VND | Vietnam | 60000.0 | 22300.0 | 2.69058295964126 |
6296 | 6296 | 2016-07-01 | VND | Vietnam | 60000.0 | 22300.0 | 2.69058295964126 |
7626 | 7626 | 2016-07-01 | VND | Vietnam | 60000.0 | 22300.0 | 2.69058295964126 |
8956 | 8956 | 2016-07-01 | VND | Vietnam | 60000.0 | 22300.0 | 2.69058295964126 |
10286 | 10286 | 2016-07-01 | VND | Vietnam | 60000.0 | 22300.0 | 2.69058295964126 |
11616 | 11616 | 2016-07-01 | VND | Vietnam | 60000.0 | 22300.0 | 2.69058295964126 |
12946 | 12946 | 2016-07-01 | VND | Vietnam | 60000.0 | 22300.0 | 2.69058295964126 |
942 | 942 | 2016-07-01 | CNY | China | 18.6 | 6.678 | 2.7852650494159903 |
2272 | 2272 | 2016-07-01 | CNY | China | 18.6 | 6.678 | 2.7852650494159903 |
3602 | 3602 | 2016-07-01 | CNY | China | 18.6 | 6.678 | 2.7852650494159903 |
4932 | 4932 | 2016-07-01 | CNY | China | 18.6 | 6.678 | 2.7852650494159903 |
6262 | 6262 | 2016-07-01 | CNY | China | 18.6 | 6.678 | 2.7852650494159903 |
7592 | 7592 | 2016-07-01 | CNY | China | 18.6 | 6.678 | 2.7852650494159903 |
8922 | 8922 | 2016-07-01 | CNY | China | 18.6 | 6.678 | 2.7852650494159903 |
10252 | 10252 | 2016-07-01 | CNY | China | 18.6 | 6.678 | 2.7852650494159903 |
11582 | 11582 | 2016-07-01 | CNY | China | 18.6 | 6.678 | 2.7852650494159903 |
12912 | 12912 | 2016-07-01 | CNY | China | 18.6 | 6.678 | 2.7852650494159903 |
964 | 964 | 2016-07-01 | PHP | Philippines | 133.0 | 47.115 | 2.82288018677704 |
2294 | 2294 | 2016-07-01 | PHP | Philippines | 133.0 | 47.115 | 2.82288018677704 |
3624 | 3624 | 2016-07-01 | PHP | Philippines | 133.0 | 47.115 | 2.82288018677704 |
4954 | 4954 | 2016-07-01 | PHP | Philippines | 133.0 | 47.115 | 2.82288018677704 |
6284 | 6284 | 2016-07-01 | PHP | Philippines | 133.0 | 47.115 | 2.82288018677704 |
7614 | 7614 | 2016-07-01 | PHP | Philippines | 133.0 | 47.115 | 2.82288018677704 |
8944 | 8944 | 2016-07-01 | PHP | Philippines | 133.0 | 47.115 | 2.82288018677704 |
10274 | 10274 | 2016-07-01 | PHP | Philippines | 133.0 | 47.115 | 2.82288018677704 |
11604 | 11604 | 2016-07-01 | PHP | Philippines | 133.0 | 47.115 | 2.82288018677704 |
12934 | 12934 | 2016-07-01 | PHP | Philippines | 133.0 | 47.115 | 2.82288018677704 |
963 | 963 | 2016-07-01 | PEN | Peru | 10.0 | 3.30585 | 3.02494063554003 |
2293 | 2293 | 2016-07-01 | PEN | Peru | 10.0 | 3.30585 | 3.02494063554003 |
3623 | 3623 | 2016-07-01 | PEN | Peru | 10.0 | 3.30585 | 3.02494063554003 |
4953 | 4953 | 2016-07-01 | PEN | Peru | 10.0 | 3.30585 | 3.02494063554003 |
6283 | 6283 | 2016-07-01 | PEN | Peru | 10.0 | 3.30585 | 3.02494063554003 |
7613 | 7613 | 2016-07-01 | PEN | Peru | 10.0 | 3.30585 | 3.02494063554003 |
8943 | 8943 | 2016-07-01 | PEN | Peru | 10.0 | 3.30585 | 3.02494063554003 |
10273 | 10273 | 2016-07-01 | PEN | Peru | 10.0 | 3.30585 | 3.02494063554003 |
11603 | 11603 | 2016-07-01 | PEN | Peru | 10.0 | 3.30585 | 3.02494063554003 |
12933 | 12933 | 2016-07-01 | PEN | Peru | 10.0 | 3.30585 | 3.02494063554003 |
943 | 943 | 2016-07-01 | COP | Colombia | 8900.0 | 2929.0 | 3.0385797200409703 |
2273 | 2273 | 2016-07-01 | COP | Colombia | 8900.0 | 2929.0 | 3.0385797200409703 |
3603 | 3603 | 2016-07-01 | COP | Colombia | 8900.0 | 2929.0 | 3.0385797200409703 |
4933 | 4933 | 2016-07-01 | COP | Colombia | 8900.0 | 2929.0 | 3.0385797200409703 |
6263 | 6263 | 2016-07-01 | COP | Colombia | 8900.0 | 2929.0 | 3.0385797200409703 |
7593 | 7593 | 2016-07-01 | COP | Colombia | 8900.0 | 2929.0 | 3.0385797200409703 |
8923 | 8923 | 2016-07-01 | COP | Colombia | 8900.0 | 2929.0 | 3.0385797200409703 |
10253 | 10253 | 2016-07-01 | COP | Colombia | 8900.0 | 2929.0 | 3.0385797200409703 |
11583 | 11583 | 2016-07-01 | COP | Colombia | 8900.0 | 2929.0 | 3.0385797200409703 |
12913 | 12913 | 2016-07-01 | COP | Colombia | 8900.0 | 2929.0 | 3.0385797200409703 |
945 | 945 | 2016-07-01 | CZK | Czech Republic | 75.0 | 24.54655 | 3.0554191933285897 |
2275 | 2275 | 2016-07-01 | CZK | Czech Republic | 75.0 | 24.54655 | 3.0554191933285897 |
3605 | 3605 | 2016-07-01 | CZK | Czech Republic | 75.0 | 24.54655 | 3.0554191933285897 |
4935 | 4935 | 2016-07-01 | CZK | Czech Republic | 75.0 | 24.54655 | 3.0554191933285897 |
6265 | 6265 | 2016-07-01 | CZK | Czech Republic | 75.0 | 24.54655 | 3.0554191933285897 |
7595 | 7595 | 2016-07-01 | CZK | Czech Republic | 75.0 | 24.54655 | 3.0554191933285897 |
8925 | 8925 | 2016-07-01 | CZK | Czech Republic | 75.0 | 24.54655 | 3.0554191933285897 |
10255 | 10255 | 2016-07-01 | CZK | Czech Republic | 75.0 | 24.54655 | 3.0554191933285897 |
11585 | 11585 | 2016-07-01 | CZK | Czech Republic | 75.0 | 24.54655 | 3.0554191933285897 |
12915 | 12915 | 2016-07-01 | CZK | Czech Republic | 75.0 | 24.54655 | 3.0554191933285897 |
951 | 951 | 2016-07-01 | HUF | Hungary | 900.0 | 285.6397 | 3.15082252221943 |
2281 | 2281 | 2016-07-01 | HUF | Hungary | 900.0 | 285.6397 | 3.15082252221943 |
3611 | 3611 | 2016-07-01 | HUF | Hungary | 900.0 | 285.6397 | 3.15082252221943 |
4941 | 4941 | 2016-07-01 | HUF | Hungary | 900.0 | 285.6397 | 3.15082252221943 |
6271 | 6271 | 2016-07-01 | HUF | Hungary | 900.0 | 285.6397 | 3.15082252221943 |
7601 | 7601 | 2016-07-01 | HUF | Hungary | 900.0 | 285.6397 | 3.15082252221943 |
8931 | 8931 | 2016-07-01 | HUF | Hungary | 900.0 | 285.6397 | 3.15082252221943 |
10261 | 10261 | 2016-07-01 | HUF | Hungary | 900.0 | 285.6397 | 3.15082252221943 |
11591 | 11591 | 2016-07-01 | HUF | Hungary | 900.0 | 285.6397 | 3.15082252221943 |
12921 | 12921 | 2016-07-01 | HUF | Hungary | 900.0 | 285.6397 | 3.15082252221943 |
967 | 967 | 2016-07-01 | SAR | Saudi Arabia | 12.0 | 3.7505 | 3.19957339021464 |
2297 | 2297 | 2016-07-01 | SAR | Saudi Arabia | 12.0 | 3.7505 | 3.19957339021464 |
3627 | 3627 | 2016-07-01 | SAR | Saudi Arabia | 12.0 | 3.7505 | 3.19957339021464 |
4957 | 4957 | 2016-07-01 | SAR | Saudi Arabia | 12.0 | 3.7505 | 3.19957339021464 |
6287 | 6287 | 2016-07-01 | SAR | Saudi Arabia | 12.0 | 3.7505 | 3.19957339021464 |
7617 | 7617 | 2016-07-01 | SAR | Saudi Arabia | 12.0 | 3.7505 | 3.19957339021464 |
8947 | 8947 | 2016-07-01 | SAR | Saudi Arabia | 12.0 | 3.7505 | 3.19957339021464 |
10277 | 10277 | 2016-07-01 | SAR | Saudi Arabia | 12.0 | 3.7505 | 3.19957339021464 |
11607 | 11607 | 2016-07-01 | SAR | Saudi Arabia | 12.0 | 3.7505 | 3.19957339021464 |
12937 | 12937 | 2016-07-01 | SAR | Saudi Arabia | 12.0 | 3.7505 | 3.19957339021464 |
936 | 936 | 2016-07-01 | ARS | Argentina | 50.0 | 14.935 | 3.3478406427854 |
2266 | 2266 | 2016-07-01 | ARS | Argentina | 50.0 | 14.935 | 3.3478406427854 |
3596 | 3596 | 2016-07-01 | ARS | Argentina | 50.0 | 14.935 | 3.3478406427854 |
4926 | 4926 | 2016-07-01 | ARS | Argentina | 50.0 | 14.935 | 3.3478406427854 |
6256 | 6256 | 2016-07-01 | ARS | Argentina | 50.0 | 14.935 | 3.3478406427854 |
7586 | 7586 | 2016-07-01 | ARS | Argentina | 50.0 | 14.935 | 3.3478406427854 |
8916 | 8916 | 2016-07-01 | ARS | Argentina | 50.0 | 14.935 | 3.3478406427854 |
10246 | 10246 | 2016-07-01 | ARS | Argentina | 50.0 | 14.935 | 3.3478406427854 |
11576 | 11576 | 2016-07-01 | ARS | Argentina | 50.0 | 14.935 | 3.3478406427854 |
12906 | 12906 | 2016-07-01 | ARS | Argentina | 50.0 | 14.935 | 3.3478406427854 |
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CREATE TABLE "bigmac" ( "date" TEXT, "currency_code" TEXT, "name" TEXT, "local_price" REAL, "dollar_ex" REAL, "dollar_price" REAL );