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Description
AGLUTININA DE CACAHUATE ARP(AC PRIMARIO) RTC.
IMSS product code
080.070.0171.10
Each circle represents one of the 5 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 4 | 3,058.9 MXN | 345.7 MXN | 12.6 % | 1.91 | 26 de enero de 2009 |
| H. de Gineco Pediatría Núm 48, León Gto. Umae Gineco - Pediatria Guanajuato | Guanajuato | 1 | 414 MXN | 52.2 MXN | 14.4 % | 0.289 | 19 de noviembre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUIDORA MEDICA GRIJALVA SA DE CV | 2 | 218.1 MXN | 15.1 % | 1.21 | 2009 - 2009 |
| ZU?IGA PALACIOS JESUS ROBERTO | 2 | 127.5 MXN | 10.1 % | 0.705 | 2009 - 2009 |
| INTERACTIVOS PARA LABORATORIO S.A. DE C.V. | 1 | 52.2 MXN | 14.4 % | 0.289 | 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=080.070.0171.10")
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=080.070.0171.10')
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=080.070.0171.10')