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Description
CONTROL POSITIVO PARA CHLAMYDIA FCO CON 5 U RTC.
IMSS product code
080.823.2466.01
Each circle represents one of the 2 purchases of CONTROLES Y ESTÁNDARES made by the IMSS between 2011 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 33,408 MXN | 4,608 MXN | 16 % | 1.28 | 30 de marzo de 2011 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 608.4 MXN | 83.9 MXN | 16 % | 0.8 | 8 de mayo de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEXMED, S.A. DE C.V. | 1 | 83.9 MXN | 16 % | 0.8 | 2018 - 2018 |
| PIZAYA MOLINA JAIME ARTURO | 1 | 4,608 MXN | 16 % | 1.28 | 2011 - 2011 |
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=080.823.2466.01")
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=080.823.2466.01')
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=080.823.2466.01')