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Description
SUEROS PARA TIPIFICAR LA SANGRE, MEDIOS PROTEICOS, ENZIMAS Y ANTIGENOS. ANTI CELLANO. FRASCO DE 2 Y 5 ML. RTC.
IMSS product code
080.081.0574.12
Each circle represents one of the 8 purchases of SUEROS PARA TIPIFICAR LA SANGRE MEDIOS PROTEICOS ENZIMAS Y ANTÍGENOS made by the IMSS between 2014 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 4 | 549,840 MXN | 64,002.2 MXN | 13.9 % | 14.7 | 9 de marzo de 2017 |
| Delegación Chihuahua | Chihuahua | 4 | 57,536 MXN | 13,731.9 MXN | 43 % | 2.55 | 25 de noviembre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PIZAYA MOLINA JAIME ARTURO | 4 | 64,002.2 MXN | 13.9 % | 14.7 | 2014 - 2017 |
| RODRIGUEZ MENDOZA SALVADOR FERNANDO | 3 | 11,283.4 MXN | 50.8 % | 2.09 | 2016 - 2016 |
| RUIZ ORTEGA MIGUEL ANDRES | 1 | 2,448.5 MXN | 19.6 % | 0.454 | 2016 - 2016 |
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=080.081.0574.12")
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=080.081.0574.12')
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=080.081.0574.12')