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Description
PINZAS DE DISECCION DEBACKEY, CON PUNTA DE 2.0 MM. DE ANCHO, CANAL LONGITUDINAL CON DIENTES FINOS. LONGITUD TOTAL 160 MM.
IMSS product code
537.702.2388.01
Each circle represents one of the 9 purchases of PINZAS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 4,421.3 MXN | 95.2 MXN | 2.67 % | 0.107 | 28 de julio de 2018 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 2 | 4,813.5 MXN | 1,290.5 MXN | 90.2 % | 2.51 | 3 de octubre de 2016 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 1,225 MXN | 333 MXN | 37.3 % | 0.373 | 20 de agosto de 2018 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 663.5 MXN | 51.5 MXN | 8.42 % | 0.0842 | 3 de noviembre de 2016 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 816.5 MXN | 106.5 MXN | 15 % | 0.3 | 17 de agosto de 2009 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 165.9 MXN | - MXN | - | - | 1 de enero de 2011 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 2,714.4 MXN | 1,059.1 MXN | 64 % | 2.56 | 12 de abril de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 4 | 1,538.7 MXN | 28.8 % | 3.12 | 2011 - 2018 |
| NEODREN, S. DE R. L. DE C. V. | 2 | 536 MXN | 8.76 % | 0.876 | 2015 - 2016 |
| CORREA AYALA GEORGINA | 1 | - MXN | - | - | 2011 - 2011 |
| DEWIMED, S. A. | 1 | 754.5 MXN | 163 % | 1.63 | 2015 - 2015 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 106.5 MXN | 15 % | 0.3 | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=537.702.2388.01")
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=537.702.2388.01')
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=537.702.2388.01')