QuienEsQuien.wiki is a civil society project that promotes transparency in government procurement. The State is required to publish this information, and we republish it to make it easier to access, support investigations and promote corporate accountability.
Note: Profiles on QuienEsQuien.wiki do not imply an accusation.
Summary of contract activity as supplier
1 contract as supplier for a total of 500,000
between 2017 and 2017.
Information from QuienEsQuien.wiki can be reused without asking for permission, as long as you cite us as the source and use the CC-BY-SA license for your publications.
If you cannot comply with these requirements, please contact us and tell us about your project.
Corrections to the information
The information gathered on QuiénEsQuién.Wiki comes from public and official sources, such as Compranet and the BMV. If you find that it is inaccurate or contains errors, those are errors in the original sources.
If the information presented about {title} is not correct, please contact us reporting the incorrect information and where we can obtain the correct information. We offer to accompany you in filing a claim with the corresponding entities.
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If you are the victim of extortion, take screenshots of the messages you received and go to the public prosecutor's office to request protection, or call 088 for guidance on filing the corresponding report. Recommendations for reporting phone extortion. If the extortionists have explicitly mentioned QuienEsQuien.wiki in their messages, please send us a copy of the messages.
Contact is not possible
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Error report
We really appreciate you taking the time to report errors and suggest improvements. Please contact us with your ideas or open an issue in our GitHub repository.
Import and use data
Note: CSV download is temporarily disabled due to the server migration. Please use the JSON format to import the data.
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/persons?limit=1&sort=&embed=true&db_prefix=&id=roger-sequeira-vindas")
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/persons?limit=1&sort=&embed=true&db_prefix=&id=roger-sequeira-vindas')
data = json.loads(response.read())
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/persons?limit=1&sort=&embed=true&db_prefix=&id=roger-sequeira-vindas')