water-supply | reservoir data http : //cdec | Dataset library

by vicapow JavaScript Version: Current License: No License

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kandi X-RAY | water-supply Summary

water-supply is a JavaScript library typically used in Artificial Intelligence, Dataset applications. water-supply has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

reservoir data (location, id, name) reservoir data (capacities) shapefiles cor california counties:

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water-supply has a low active ecosystem.

It has 46 star(s) with 22 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of water-supply is current.

Quality

water-supply has 0 bugs and 0 code smells.

Security

water-supply has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

water-supply code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

water-supply does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

water-supply releases are not available. You will need to build from source code and install.

water-supply saves you 273 person hours of effort in developing the same functionality from scratch.

It has 662 lines of code, 0 functions and 23 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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water-supply Key Features

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water-supply Examples and Code Snippets

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Community Discussions

Trending Discussions on water-supply

Filtering , classifying and creating a new variable based on a reference datetime

QUESTION

Filtering , classifying and creating a new variable based on a reference datetime

Asked 2021-May-01 at 05:50

I am currently working with a dataset containing the records of some water-supply tanks that shows the DATE of technical inspections of 5 different tanks (IDENT) and also the TYPE of inspection recorded which can only have two values "READ" when the tank is working properly and "ERROR" when otherwise performing poorly.

IDENT DATE TYPE X3 30/04/2021 ERROR X1 1/05/2021 READ X1 2/05/2021 ERROR X4 3/05/2021 READ X9 4/05/2021 ERROR X6 5/05/2021 READ X1 6/05/2021 READ X3 7/05/2021 ERROR X3 8/05/2021 READ

I have to create a dataframe that can filter and select every TYPE="ERROR" DATE for each water tank (is there is no error recorded on the dateset for a specify tank is not necessary to show it) and show the latest TYPE="READ" DATE prior to the each tank's ERROR and also the latest DATE After each tank's error date, to illustrate I am to achieve this table:

...

ANSWER

Answered 2021-Apr-30 at 19:32

We convert the 'DATE' column to Date class (dmy - from lubridate), arrange the rows by 'IDENT' and 'DATE', grouped by 'IDENT', recode the 'READ' values to 'READ_PRIOR' and 'POST_READ' with case_when based on the presence of 'ERROR', remove the 'IDENT' groups that have no 'ERROR' value in 'TYPE', reshape to 'wide' format with pivot_wider and fill the values in 'POST_READ' with non-NA adjacent values for each 'IDENT'

Source https://stackoverflow.com/questions/67339312

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

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Install water-supply

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