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Description
COMPLEMENTO DE CONEJO PARA -DETERMINAR ANTIGENO HLA DRMEDIANTE ANTISUEROS ESPECIFICOS RTC.
IMSS product code
080.081.4105.10
Each circle represents one of the 22 purchases of SUSTANCIAS BIOLÓGICAS ANTÍGENOS SUEROS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 10 | 142,629.4 MXN | 27,148.4 MXN | 25 % | 126 | 1 de febrero de 2018 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 5 | 5,694 MXN | 2,083.1 MXN | 57.3 % | 7.5 | 26 de enero de 2009 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 3 | 15,483.7 MXN | 1,042 MXN | 26.5 % | 5.59 | 17 de junio de 2015 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 3 | 225,921.6 MXN | 33,721.1 MXN | 10.1 % | 193.3 | 15 de febrero de 2011 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 1,207.5 MXN | - MXN | - | - | 20 de abril de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABALAT, S.A. DE C.V. | 14 | 60,869.5 MXN | 20 % | 319.3 | 2009 - 2018 |
| SUSTANCIAS QUIMICAS Y EMPAQUES, S.A. DE C.V. | 3 | 1,042 MXN | 26.5 % | 5.59 | 2011 - 2015 |
| ZU?IGA PALACIOS JESUS ROBERTO | 3 | 1,058.7 MXN | 54.4 % | 3.81 | 2009 - 2009 |
| DISTRIBUIDORA MEDICA GRIJALVA SA DE CV | 2 | 1,024.4 MXN | 61.5 % | 3.69 | 2009 - 2009 |
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=080.081.4105.10")
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=080.081.4105.10')
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=080.081.4105.10')