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Description
PINZAS BLAKESLEY, RECTA, TAMA?O NO. 4. LONGITUD UTIL 110 MM.
IMSS product code
537.702.3493.01
Each circle represents one of the 7 purchases of PINZAS made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 8,769.6 MXN | 1,816.9 MXN | 27.1 % | 0.542 | 2 de febrero de 2011 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 1 | 172,051.2 MXN | 23,731.2 MXN | 16 % | 7.68 | 16 de julio de 2012 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 4,236.9 MXN | 584.4 MXN | 16 % | 0.48 | 6 de agosto de 2015 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 11,600 MXN | 1,600 MXN | 16 % | 0.64 | 24 de julio de 2018 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 7,308 MXN | 1,008 MXN | 16 % | 0.16 | 8 de noviembre de 2017 |
| H. de Traumatología y Ortopedia, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Traumatologia Y Ortopedia Puebla | Puebla | 1 | 28,738.3 MXN | 3,356.6 MXN | 13.2 % | 1.06 | 8 de agosto de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 4 | 4,424.9 MXN | 21.6 % | 1.34 | 2010 - 2018 |
| BELTRAN SILVA MAURICIO | 1 | 23,731.2 MXN | 16 % | 7.68 | 2012 - 2012 |
| HEMOST, S. A. DE C. V. | 1 | 3,356.6 MXN | 13.2 % | 1.06 | 2011 - 2011 |
| NEODREN, S. DE R. L. DE C. V. | 1 | 584.4 MXN | 16 % | 0.48 | 2015 - 2015 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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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=537.702.3493.01")
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=537.702.3493.01')
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=537.702.3493.01')