django-calaccess-campaign-browser django-calaccess-campaign-finance 0.1.1 documentation
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DJANGO-CALACCESS-CAMPAIGN-BROWSER.CALIFORNIACIVICDATA.ORG TRAFFIC
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Here is a simple Django management command. I use when I want to quickly execute custom SQL in the database. Can take more time to craft and execute than a well-tailored.
Intended as a base layer below more sophisticated apps, like django-calaccess-campaign-browser. That transform the source data and load it into simplified models to serve as a platform for investigative analysis. Connecting to a local database. How far back does the database go? California file .
WHAT DOES DJANGO-CALACCESS-CAMPAIGN-BROWSER.CALIFORNIACIVICDATA.ORG LOOK LIKE?
DJANGO-CALACCESS-CAMPAIGN-BROWSER.CALIFORNIACIVICDATA.ORG SERVER
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We observed that django-calaccess-campaign-browser.californiacivicdata.org is implementing the nginx/1.4.6 (Ubuntu) os.HTML TITLE
django-calaccess-campaign-browser django-calaccess-campaign-finance 0.1.1 documentationDESCRIPTION
How to use it. Importing to Microsoft SQL Server. A Django app to refine and investigate campaign finance data drawn from the California Secretary of States CAL-ACCESS. Intended as a second layer atop django-calaccess-raw-data. That transforms the source data and loads it into simplified models that serve as a platform for investigative analysis. This is a work in progress. Its analysis should be considered as provisional until it is further tested and debugged. How to use it. Installing the Django app.PARSED CONTENT
The domain states the following, "Importing to Microsoft SQL Server." We observed that the web page stated " A Django app to refine and investigate campaign finance data drawn from the California Secretary of States CAL-ACCESS." It also stated " Intended as a second layer atop django-calaccess-raw-data. That transforms the source data and loads it into simplified models that serve as a platform for investigative analysis. This is a work in progress. Its analysis should be considered as provisional until it is further tested and debugged."ANALYZE OTHER WEB PAGES
Why and what for? Who made this library are data journalists. We are often downloading, cleaning and analyzing new data. That means we write a load of loaders. But if you have a big CSV, Django will rack up database queries and it can take a long time to finish.
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