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Description
JERINGAS DE VIDRIO SIN AGUJA, CON PIVOTE EXCENTRICO DE VIDRIO, REUTILIZABLES. CAPACIDAD. 50 ML ESCALA GRADUADA EN ML. CON DIVISIONES 10.0 Y SUBDIVISIONES DE 5.0 ML.
IMSS product code
060.550.1014.11
Each circle represents one of the 54 purchases of JERINGAS made by the IMSS between 2008 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 20 | 50,256.7 MXN | 14,605.7 MXN | 56 % | 27.3 | 4 de octubre de 2010 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 6 | 970,338.2 MXN | 133,839.7 MXN | 16 % | 234.7 | 17 de diciembre de 2013 | |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 5 | 49,679.7 MXN | 10,210.8 MXN | 34.1 % | 17.8 | 5 de junio de 2017 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 4 | 25,488.3 MXN | 1,130.6 MXN | 4.46 % | 2.32 | 21 de diciembre de 2009 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 3 | 160,128.9 MXN | 24,478.1 MXN | 19.5 % | 45.2 | 15 de junio de 2017 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 2 | 101,964.2 MXN | 12,995.4 MXN | 13.3 % | 26.2 | 1 de enero de 2010 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 2 | 42,681 MXN | 5,283.7 MXN | 13.3 % | 10.5 | 1 de enero de 2010 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 2 | 70,370.3 MXN | 8,402.6 MXN | 13.3 % | 16.6 | 15 de diciembre de 2009 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 2 | 5,691.2 MXN | 1,182.3 MXN | 37.4 % | 2.28 | 20 de enero de 2010 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 2 | 6,558.4 MXN | 382.1 MXN | 7.83 % | 0.783 | 12 de abril de 2010 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 2 | 57,706.7 MXN | 4,821.7 MXN | 5.45 % | 8.83 | 23 de febrero de 2017 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 6,261.8 MXN | 893.4 MXN | 16.6 % | 1.83 | 27 de febrero de 2009 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 693.7 MXN | 147.3 MXN | 27 % | 0.27 | 30 de junio de 2010 |
| Delegación Oaxaca | Oaxaca | 1 | 920 MXN | - MXN | - | - | 17 de septiembre de 2009 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 14,541.1 MXN | 1,428.6 MXN | 10.9 % | 2.61 | 1 de enero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO KASTARI SA DE CV | 18 | 13,131.6 MXN | 61.4 % | 24.6 | 2009 - 2010 |
| ALDACO MEDICAL INSTRUMENTS, S.A. DE C.V. | 13 | 127,283.7 MXN | 13.3 % | 225.2 | 2009 - 2013 |
| ARTIMEDICA, S.A. DE C.V. | 9 | 34,720.4 MXN | 12.6 % | 71.1 | 2008 - 2010 |
| CASLAB DE MEXICO, S. A. DE C. V. | 3 | 11,944.2 MXN | 14.3 % | 19.5 | 2017 - 2017 |
| CORPORACION ARMO, S.A. DE C.V. | 2 | 1,130.6 MXN | 8.91 % | 2.32 | 2009 - 2009 |
| CRUZ TOLEDO MARIA DEL CARMEN | 2 | 147.3 MXN | 13.5 % | 0.27 | 2009 - 2010 |
| COMERCIALIZADORA RIHE SA DE CV | 1 | 647.3 MXN | 59.2 % | 1.18 | 2010 - 2010 |
| DISTRIBUIDORA PROHLAB SA DE CV | 1 | 6,120.2 MXN | 125.2 % | 10 | 2017 - 2017 |
| DISTRIBUIDORA SEVI, S.A. DE C.V. | 1 | 24,414.6 MXN | 16 % | 42.4 | 2011 - 2011 |
| GRUPO EMEQUR, S.A. DE C.V. | 1 | 216.8 MXN | 14.8 % | 0.444 | 2009 - 2009 |
| JTC PROVEEDOR MEDICO, S. A. DE C. V. | 1 | - MXN | - | - | 2009 - 2009 |
| PROVEEDORA NACIONAL DE MAT. DE CURACION, SA DE CV | 1 | - MXN | - | - | 2009 - 2009 |
| ZARATE RODRIGUEZ JOSE ALBERTO | 1 | 45.5 MXN | 4.16 % | 0.0833 | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.550.1014.11")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.550.1014.11')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.550.1014.11')