elda | Epimorphics implementation of the Linked Data API | Data Manipulation library

by epimorphics Java Version: Current License: Non-SPDX

kandi X-RAY | elda Summary

elda is a Java library typically used in Utilities, Data Manipulation applications. elda has no bugs, it has no vulnerabilities, it has build file available and it has low support. However elda has a Non-SPDX License. You can download it from GitHub.

Elda is a Java implementation of the Linked Data API, which provides a configurable way to access RDF data using simple RESTful URLs that are translated into queries to a SPARQL endpoint. The API developer (probably you) writes an API spec (in RDF) which specifies how to translate URLs into queries. Elda is the Epimorphics implementation of the LDA. The standalone jar comes with pre-built examples which allow you to experiment with the style of query and get started with building your own configurations using elda common or your own webapps. See the current Elda documentation, or the forthcoming release's documentation linked from the documentation index .

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elda has a low active ecosystem.
It has 47 star(s) with 24 fork(s). There are 17 watchers for this library.
It had no major release in the last 6 months.
There are 77 open issues and 134 have been closed. On average issues are closed in 242 days. There are 8 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of elda is current.

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elda has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
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license License

elda has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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elda saves you 77404 person hours of effort in developing the same functionality from scratch.
It has 85911 lines of code, 3813 functions and 627 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.

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Top functions reviewed by kandi - BETA

kandi has reviewed elda and discovered the below as its top functions. This is intended to give you an instant insight into elda implemented functionality, and help decide if they suit your requirements.

Handle an endpoint .

Prints an object .

Add the default metadata options

Constructs a query from a set of licenses .

Outputs a quoted string .

Load vocabulary from a vocabulary model .

Generate the set of terms that have been seen in the model .

Returns an XSLT model describing the XSLT .

Adds an EL API to the model .

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Get all kandi verified functions for this library.

elda Key Features

Epimorphics implementation of the Linked Data API

elda Examples and Code Snippets

Community Discussions

Trending Discussions on elda

Change bar's color and orientation in a table
How to display geodjango rest api response on react leaflet Map
how to create 2 tables with foreign and primary key in sql fiddle?
Date format in hover for ggplot2 and plotly

Trending Discussions on elda

QUESTION

Change bar's color and orientation in a table

Asked 2021-May-09 at 19:09

I'd like to change side and color of the bar if the number is negative. I was currently using this code but I don't know how to do it.

To better understand what I want, I'd like that Orihuela's bar, whose value is negative, to be red and to the left.

increasepob3<-structure(list(CP = c("03009 ", "03014 ", "03031 ", "03065 ", 
"03066 ", "03099 ", "03122 ", "03133 ", "12040 ", "12135 ", "46131 ", 
"46190 ", "46220 ", "46244 ", "46250 "), Municipio = c(" Alcoi", 
" Alacant", " Benidorm", " Elx", " Elda", " Orihuela", " Sant Vicent del Raspeig", 
" Torrevieja", " Castelló de la Plana", " Vila-real", " Gandia", 
" Paterna", " Sagunt", " Torrent", " València"), Evolución = c(0.18, 
3.88, 5.35, 3.54, 0.3, -6.23, 3.82, -11.35, 1.74, 1.79, 1.84, 
4.59, 2.6, 4.69, 1.28)), row.names = c(NA, -15L), class = "data.frame")

increasepob3$Evolución<- color_bar("lightgreen")(increasepob3$Evolución)

kbl(increasepob3, escape =F, digits = 2) %>%
  kable_paper()

ANSWER

Answered 2021-May-09 at 19:09

Welcome to SO, @Oxford Bicho!

Followed this answer to obtain this:

---
title: "Use ifelse"
author: "bttomio"
date: "5/9/2021"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
library(kableExtra)
library(formattable)
library(tidyverse)
```

## R Markdown

```{r kable}
increasepob3<-structure(list(CP = c("03009 ", "03014 ", "03031 ", "03065 ", 
"03066 ", "03099 ", "03122 ", "03133 ", "12040 ", "12135 ", "46131 ", 
"46190 ", "46220 ", "46244 ", "46250 "), Municipio = c(" Alcoi", 
" Alacant", " Benidorm", " Elx", " Elda", " Orihuela", " Sant Vicent del Raspeig", 
" Torrevieja", " Castelló de la Plana", " Vila-real", " Gandia", 
" Paterna", " Sagunt", " Torrent", " València"), Evolución = c(0.18, 
3.88, 5.35, 3.54, 0.3, -6.23, 3.82, -11.35, 1.74, 1.79, 1.84, 
4.59, 2.6, 4.69, 1.28)), row.names = c(NA, -15L), class = "data.frame")

cb <- function(x) {
  range <- max(abs(x))
  width <- round(abs(x / range * 50), 2)
  ifelse(
    x > 0,
    paste0(
      '<span style="display: inline-block; border-radius: 2px; ', 
      'padding-right: 2px; background-color: lightgreen; width: ', 
      width, '%; margin-left: 50%; text-align: left;">', x, '</span>'
    ),
    paste0(
      '<span style="display: inline-block; border-radius: 2px; ', 
      'padding-right: 2px; background-color: lightpink; width: ', 
      width, '%; margin-right: 50%; text-align: right; float: right; ">', x, '</span>'
    )
  )
}

increasepob3 %>%
  mutate(
    Evolución = cb(Evolución)
  ) %>%
  kbl(escape =F, digits = 2) %>%
  kable_paper() 
```

-output

Source https://stackoverflow.com/questions/67441457

QUESTION

How to display geodjango rest api response on react leaflet Map

Asked 2021-Feb-10 at 08:45

I have the following response from django rest:

[
   {
    "area": 0.0,
    "perimeter": 0.0,
    "town_name": "Cheptais",
    "town_id": 4,
    "town_type": "Market Centres",
    "geom": "SRID=4326;MULTIPOINT (34.4500007629395 0.800000011920929)"
},
{
    "area": 0.0,
    "perimeter": 0.0,
    "town_name": "Dadaab",
    "town_id": 3,
    "town_type": "Trading Centre",
    "geom": "SRID=4326;MULTIPOINT (40.3199996948242 0.070000000298023)"
},
{
    "area": 0.0,
    "perimeter": 0.0,
    "town_name": "Eldas",
    "town_id": 4,
    "town_type": "Market Centres",
    "geom": "SRID=4326;MULTIPOINT (39.5499992370605 2.52999997138977)"
}
]

Fetching the endpoint with axios this way:

await axios
  .get("/api/gis/areas/", headers)
  .then((response) => {
    this.setState({ places: response.data });
    console.log(response.data);
  })
  .catch(function (error) {
    console.log(error);
  });

}

 const handleEachFeature = (feature, layer) => {
  layer.bindPopup('<font size="4">' + feature.properties.town_name);
}

Using react leaflet, I create a map instance as follows:

<Map className="map" onEachFeature={handleEachFeature} style={{height:'100%',width:'100%'}}>
      <GeoJSON data={places}/>
</Map>

However, this does not overlay the api response on my map.. I'm I missing something?

ANSWER

Answered 2021-Feb-10 at 08:45

as i mentioned on the comments,you have to convert the wkt to geojson in order for this to work, there are several solution to achieve such conversion but the easiest one here is to import wicket library (just use npm install wicket), also you need to create the with a unique key, here is a working component from your same data (note i'm not using axios as i test the data locally), :

import React, { Component } from 'react'
import './styles/styles.css'
import {Map,TileLayer,GeoJSON} from 'react-leaflet'
import './leaflet/leaflet.css'
import Wkt from 'wicket'
import L from 'leaflet'
import Data from '../../Data/wkt_file.json'

import icon from 'leaflet/dist/images/marker-icon.png';
import iconShadow from 'leaflet/dist/images/marker-shadow.png';

// this is for maker to show up:
let DefaultIcon = L.icon({
    iconUrl: icon,
    shadowUrl: iconShadow
});

L.Marker.prototype.options.icon = DefaultIcon;

export default class map extends Component {
    constructor(props){
        super(props);
        this.state={
            wkt_json_holder:[],
            json_ob:<></>,
            json_key:1, 
            tile:'https://tiles.stadiamaps.com/tiles/alidade_smooth_dark/{z}/{x}/{y}{r}.png',
        }
        this.setGeoJSON = this.setGeoJSON.bind(this)
        this.onEach = this.onEach.bind(this)
    }
    async componentDidMount(){
        await this.setState({wkt_json_holder:Data});
        this.setGeoJSON()
    }

    setGeoJSON=()=>{
        let json_data = this.state.wkt_json_holder.map(point=>{
            let wkt_geom = point['geom'].replace('SRID=4326;','')
            let wkt = new Wkt.Wkt();
            wkt.read(wkt_geom)
            let geojson_geom = wkt.toJson()
            let coords = geojson_geom['coordinates']
            let type = geojson_geom['type']
            let geojson_obj={
                "type": "Feature",
                "geometry": {
                    'type':type,
                    'coordinates':coords
                },
                "properties": {
                    "town_name": point['town_name'], "town_id": point['town_id'], "town_type":point['town_type'], "perimeter": point['perimeter'], "area": point['area']
                }
            }
              return geojson_obj
            }
              
            )
            console.log(json_data)
            let json_ob= <GeoJSON data={json_data} key={1} style={{color:'red'}} onEachFeature={this.onEach}/>
            this.setState({json_ob})
    }

    // handling Popups 
    onEach(feature,layer){
        console.log(feature)
        let PopupContent = `
            <Popup>
                <p>town id:${feature.properties.town_id}</p>
                <p>town name:${feature.properties.town_name}</p>
            </Popup>
        `
        layer.bindPopup(PopupContent)
    }

    render() {
                
        return (
        <div style={{width:'100%',height:'100%'}}>
            <Map center={[2.197035, 38.703588]} zoom={6} style={{width:'100%',height:'100%'}}>
                <TileLayer url={this.state.tile}/>
                {this.state.json_ob}
            </Map>
                
        </div>
        )
    }

    
}

Source https://stackoverflow.com/questions/66105338

QUESTION

how to create 2 tables with foreign and primary key in sql fiddle?

Asked 2020-Feb-06 at 13:44

2 tables are RetailOutlet and SalesMan, both are connected by ROID, ROID is primary, unique for Retail Outlet.

Salesman has primary key SID, but also has foreign key ROID.

http://sqlfiddle.com/#!9/b1cd8a

CREATE TABLE IF NOT EXISTS `RetailOutlet` (
  `id` int(6) unsigned NOT NULL,
  `year` int(4) unsigned NOT NULL,
  `location` varchar(200) NOT NULL,
  PRIMARY KEY (`id`)
) DEFAULT CHARSET=utf8;
INSERT INTO `RetailOutlet` (`id`, `year`, `location`) VALUES
  ('1', '1994', 'oregon'),
  ('2', '1990', 'amazon'),
  ('3', '2004', 'california'),
  ('4', '1997', 'newyork');

CREATE TABLE IF NOT EXISTS `SalesMan` (
  `sid` int(6) unsigned NOT NULL,  
  `sname` varchar(200) NOT NULL,
  `manager` int(4) unsigned NOT NULL,
  `id` int(6) unsigned NOT NULL,
  PRIMARY KEY (`sid`),
  FOREIGN KEY (`id`)
) DEFAULT CHARSET=utf8;
INSERT INTO `SalesMan` (`sid`, `sname`, `manager`, `id`) VALUES
  ('1', 'john', 'fingao', '2'),
  ('2', 'bekc', 'dilda', '3'),
  ('3', 'aaa', 'elda', '4'),
  ('4', 'erjan', 'rrrrokcks', '1');

My query was to get stores not in New York and where there is only 1 salesman, display in alphabetical order by name.

    SELECT * FROM SalesMan s INNER JOIN RetailOutlet r ON 
s.ROID = r.ROID where count(s.SID) = 1 and 
r.Location NOT LIKE 'New York' order by s.sname desc

I can't figure out what's not working.

ANSWER

Answered 2020-Feb-06 at 13:13

Your foreign key declaration has an error in it, it should state which primary key it is referencing:

FOREIGN KEY (`id`) REFERENCES RetailOutlet (`id`)

This is the full SQL I am using:

CREATE TABLE IF NOT EXISTS `RetailOutlet` (
  `id` int(6) unsigned NOT NULL,
  `year` int(4) unsigned NOT NULL,
  `location` varchar(200) NOT NULL,
  PRIMARY KEY (`id`)
);

INSERT INTO `RetailOutlet` (`id`, `year`, `location`) VALUES
  ('1', '1994', 'oregon'),
  ('2', '1990', 'amazon'),
  ('3', '2004', 'california'),
  ('4', '1997', 'newyork');


CREATE TABLE IF NOT EXISTS `SalesMan` (
  `sid` int(6) unsigned NOT NULL,  
  `sname` varchar(200) NOT NULL,
  `manager` VARCHAR(200) NOT NULL,
  `id` int(6) unsigned NOT NULL,
  PRIMARY KEY (`sid`),
  FOREIGN KEY (`id`) REFERENCES RetailOutlet (`id`)
);

INSERT INTO `SalesMan` (`sid`, `sname`, `manager`, `id`) VALUES
  ('1', 'john', 'fingao', '2'),
  ('2', 'bekc', 'dilda', '3'),
  ('3', 'aaa', 'elda', '4'),
  ('4', 'erjan', 'rrrrokcks', '1');

EDIT:

And your select query is also not going to work with that COUNT function in the where clause.

 SELECT * 
 FROM SalesMan s 
 INNER JOIN RetailOutlet r ON s.id = r.id
 WHERE r.Location NOT LIKE 'New York' 
 ORDER BY s.sname desc

EDIT 2:

Because the OP has a typo in it:

 SELECT * 
 FROM SalesMan s 
 INNER JOIN RetailOutlet r ON s.id = r.id
 WHERE r.Location NOT LIKE 'newyork' 
 ORDER BY s.sname desc

Source https://stackoverflow.com/questions/60094659

QUESTION

Date format in hover for ggplot2 and plotly

Asked 2018-May-15 at 00:22

I have a question about date formats in plotly. I made a time series plot in ggplot2 that I'm trying to visualize with plotly but a format issue for date-time appears on the hover (see image). I would like the date format to be YYMMD-hh:mm. How could I get this format?

Relevant R code on my script:

library(lubridate)
datosO3.melt <- melt(datosO3.plot, id.vars="fecha", value.name="value")
ozono.plot <- ggplot() + geom_line(data=datosO3.melt, aes(x=fecha, y=value, colour=variable))
ggplotly(ozono.plot)

The point is that column fecha in the dataframe is a date-time object created in a previous dataframe.

datosO3<-within(datosO3, fecha.hora <- ymd_hm(paste(datosO3$AAMMDD,datosO3$hhmm,sep="")))

and inherited by datosO3.melt

str(datosO3.melt)
'data.frame':   23328 obs. of  3 variables:
 $ fecha   : POSIXct, format: "2017-06-13 00:00:00" "2017-06-13 00:10:00" ...
 $ variable: Factor w/ 54 levels "Alcoi.Verge_dels_Lliris",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ value   : num  75 76 73 72 71 72 73 74 74 73 ...

But when I dput I get:

> dput(data)
structure(list(fecha = structure(c(1497312000, 1497312600, 1497313200, 
1497313800, 1497314400, 1497315000, 1497315600, 1497316200, 1497316800, 
1497317400, 1497318000, 1497318600, 1497319200, 1497319800, 1497320400, 
1497321000, 1497321600, 1497322200, 1497322800, 1497323400, 1497324000, 
1497324600, 1497325200, 1497325800, 1497326400, 1497327000, 1497327600, 
1497328200, 1497328800, 1497329400, 1497330000, 1497330600, 1497331200, 
1497331800, 1497332400, 1497333000, 1497333600, 1497334200, 1497334800, 
1497335400, 1497336000, 1497336600, 1497337200, 1497337800, 1497338400, 
1497339000, 1497339600, 1497340200, 1497340800, 1497341400, 1497342000, 
1497342600, 1497343200, 1497343800, 1497344400, 1497345000, 1497345600, 
1497346200, 1497346800, 1497347400, 1497348000, 1497348600, 1497349200, 
1497349800, 1497350400, 1497351000, 1497351600, 1497352200, 1497352800, 
1497353400, 1497354000, 1497354600, 1497355200, 1497355800, 1497356400, 
1497357000, 1497357600, 1497358200, 1497358800, 1497359400, 1497360000, 
1497360600, 1497361200, 1497361800, 1497362400, 1497363000, 1497363600, 
1497364200, 1497364800, 1497365400, 1497366000, 1497366600, 1497367200, 
1497367800, 1497368400, 1497369000, 1497369600, 1497370200, 1497370800, 
1497371400), class = c("POSIXct", "POSIXt"), tzone = "UTC"), 
    variable = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L), .Label = c("Alcoi.Verge_dels_Lliris", "Alacant.El_Pla", 
    "Alacant.Florida_Babel", "Alacant.Rabassa", "Benidorm", "Elx.Agroalimentari", 
    "Elx.Parc_de_Bombers", "Elda.Lacy", "Orihuela", "El_Pinos", 
    "Torrevieja", "L.Alcora", "Burriana", "Castello.Penyeta", 
    "Castello.Ermita", "Castello.Grau", "Castello.Patronat_d.Esports", 
    "Cirat", "Morella", "Onda", "Coratxar", "Sant_Jordi", "Torre_Endomenech", 
    "La_Vall_d.Uixo", "Vilafranca", "Vinaros_Planta", "Viver", 
    "Zorita", "Albalat_dels_Tarongers", "Alzira", "Algar_de_Palancia", 
    "Beniganim", "Bunnol.Cemex", "Burjassot.Facultats", "Caudete_de_las_Fuentes", 
    "Cortes_de_Pallas", "Quart_de_Poblet", "Gandia", "Ontinyent", 
    "Paterna.CEAM", "Sagunt.Port", "Sagunt.Nord", "Sagunt.CEA", 
    "Torrebaja", "Valencia.Pista_de_Silla", "Valencia.Vivers", 
    "Valencia.Politecnic", "Valencia.Avd._Francia", "Valencia.Moli_del_Sol", 
    "Valencia.Bulevard_Sud", "Vilamarxant", "Villar_del_Arzobispo", 
    "Torrent.El_Vedat", "Chiva_UM"), class = "factor"), value = c(75, 
    76, 73, 72, 71, 72, 73, 74, 74, 73, 71, 72, 71, 72, 74, 74, 
    73, 73, 73, 74, 74, 74, 72, 72, 72, 71, 70, 70, 70, 70, 72, 
    71, 68, 66, 68, 68, 65, 61, 63, 65, 71, 71, 79, 91, 84, 82, 
    91, 94, 91, 88, 88, 92, 99, 102, 103, 100, 105, 104, 104, 
    101, 102, 100, 101, 104, 109, 109, 112, 115, 116, 116, 113, 
    111, 110, 113, 113, 114, 115, 115, 114, 113, 111, 112, 115, 
    114, 112, 112, 114, 116, 116, 115, 114, 115, 113, 112, 112, 
    110, 109, 110, 110, 111)), .Names = c("fecha", "variable", 
"value"), row.names = c(NA, 100L), class = "data.frame")
>

How do I change the fecha format to be reflected in the hover?

EDIT 1: Added data

> dput(datosO3.plot)
structure(list(Alcoi.Verge_dels_Lliris = c(75, 76, 73, 72, 71, 
72), Alacant.El_Pla = c(56, 55, 53, 56, 55, 54), Alacant.Florida_Babel = c(56, 
49, 48, 45, 44, 42), Alacant.Rabassa = c(43, 42, 43, 41, 41, 
43), Benidorm = c(110, 105, 95, 107, 110, 107), Elx.Agroalimentari = c(80, 
77, 75, 69, 64, 62), Elx.Parc_de_Bombers = c(71, 68, 67, 68, 
65, 66), Elda.Lacy = c(39, 34, 32, 28, 25, 26), Orihuela = c(16, 
13, 25, 13, 17, 9), El_Pinos = c(48, 35, 36, 35, 33, 43), Torrevieja = c(NA_real_, 
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), L.Alcora = c(40, 
45, 42, 44, 48, 50), Burriana = c(14, 8, 8, 9, 7, 7), Castello.Penyeta = c(57, 
61, 68, 65, 58, 59), Castello.Ermita = c(18, 20, 14, 16, 21, 
19), Castello.Grau = c(20, 21, 19, 13, 11, 16), Castello.Patronat_d.Esports = c(36, 
26, 29, 28, 28, 29), Cirat = c(56, 56, 54, 54, 51, 51), Morella = c(119, 
121, 122, 122, 123, 123), Onda = c(57, 58, 57, 58, 60, 60), Coratxar = c(123, 
125, 126, 127, 128, 125), Sant_Jordi = c(37, 36, 37, 38, 40, 
39), Torre_Endomenech = c(28, 34, 35, 32, 30, 30), La_Vall_d.Uixo = c(63, 
64, 65, 65, 64, 65), Vilafranca = c(100, 101, 97, 98, 97, 99), 
    Vinaros_Planta = c(26.7, 31.3, 31.6, 31.7, 37.8, 41.7), Viver = c(40.6, 
    36.9, 47.6, 36.7, 43.5, 46.1), Zorita = c(67, 70, 69, 64, 
    64, 68), Albalat_dels_Tarongers = c(33, 32, 32, 29, 26, 26
    ), Alzira = c(24, 26, 23, 19, 20, 39), Algar_de_Palancia = c(47, 
    50, 48, 49, 47, 52), Beniganim = c(53, 58, 56, 56, 54, 53
    ), Bunnol.Cemex = c(64, 55, 53, 53, 53, 55), Burjassot.Facultats = c(43, 
    30, 30, 28, 16, 20), Caudete_de_las_Fuentes = c(71, 68, 66, 
    72, 74, 72), Cortes_de_Pallas = c(88, 74, 78, 82, 82, 85), 
    Quart_de_Poblet = c(13, 18, 21, 23, 30, 38), Gandia = c(45, 
    39, 49, 49, 48, 46), Ontinyent = c(88, 83, 83, 89, 86, 82
    ), Paterna.CEAM = c(48, 49, 47, 47, 48, 47), Sagunt.Port = c(52, 
    51, 51, 50, 50, 49), Sagunt.Nord = c(33, 34, 34, 32, 31, 
    31), Sagunt.CEA = c(34.8, 36.3, 37.6, 43.8, 40.7, 37.5), 
    Torrebaja = c(51, 42, 56, 52, 45, 65), Valencia.Pista_de_Silla = c(37, 
    52, 57, 60, 35, 7), Valencia.Vivers = c(45, 42, 39, 34, 32, 
    33), Valencia.Politecnic = c(40, 33, 30, 26, 25, 23), Valencia.Avd._Francia = c(54, 
    50, 50, 48, 45, 43), Valencia.Moli_del_Sol = c(9, 10, 10, 
    8, 7, 9), Valencia.Bulevard_Sud = c(1, 0, 0, 2, 0, 0), Vilamarxant = c(21, 
    29, 33, 27, 33, 22), Villar_del_Arzobispo = c(55, 57, 57, 
    54, 53, 55), Torrent.El_Vedat = c(NA_real_, NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_), Chiva_UM = c(NA_real_, NA_real_, 
    NA_real_, NA_real_, NA_real_, NA_real_), fecha = structure(c(1497312000, 
    1497312600, 1497313200, 1497313800, 1497314400, 1497315000
    ), class = c("POSIXct", "POSIXt"), tzone = "UTC")), .Names = c("Alcoi.Verge_dels_Lliris", 
"Alacant.El_Pla", "Alacant.Florida_Babel", "Alacant.Rabassa", 
"Benidorm", "Elx.Agroalimentari", "Elx.Parc_de_Bombers", "Elda.Lacy", 
"Orihuela", "El_Pinos", "Torrevieja", "L.Alcora", "Burriana", 
"Castello.Penyeta", "Castello.Ermita", "Castello.Grau", "Castello.Patronat_d.Esports", 
"Cirat", "Morella", "Onda", "Coratxar", "Sant_Jordi", "Torre_Endomenech", 
"La_Vall_d.Uixo", "Vilafranca", "Vinaros_Planta", "Viver", "Zorita", 
"Albalat_dels_Tarongers", "Alzira", "Algar_de_Palancia", "Beniganim", 
"Bunnol.Cemex", "Burjassot.Facultats", "Caudete_de_las_Fuentes", 
"Cortes_de_Pallas", "Quart_de_Poblet", "Gandia", "Ontinyent", 
"Paterna.CEAM", "Sagunt.Port", "Sagunt.Nord", "Sagunt.CEA", "Torrebaja", 
"Valencia.Pista_de_Silla", "Valencia.Vivers", "Valencia.Politecnic", 
"Valencia.Avd._Francia", "Valencia.Moli_del_Sol", "Valencia.Bulevard_Sud", 
"Vilamarxant", "Villar_del_Arzobispo", "Torrent.El_Vedat", "Chiva_UM", 
"fecha"), row.names = 289:294, class = "data.frame")

ANSWER

Answered 2017-Jun-19 at 09:24

We can use the "hidden" text aes, to use it in the tooltip:

ggplot(datosO3.melt) +
    geom_line(aes(x      = fecha, 
                  y      = value, 
                  colour = variable,
                  group  = variable,
                  text   = paste('fecha: ', fecha, '\n',
                                 'variable: ', variable, '\n',
                                 'value: ', value, '\n')
                  )
              )

ggplotly(tooltip = 'text')

However for anything that's slightly more complicated than default, especially when working with hover tooltips I usually prefer to work directly in plotly:

plot_ly(datosO3.melt, 
        type      = 'scatter', 
        mode      = 'lines', 
        x         = ~fecha, 
        y         = ~value, 
        color     = ~variable,
        text      = ~paste('fecha: ', fecha, '\n',
                           'variable: ', variable, '\n',
                           'value: ', value, '\n'),
        hoverinfo = 'text'
        )

To use a custom date format, other the print.Date default, just substitute fecha with the format you prefer, e.g:

plot_ly(datosO3.melt, 
        type = 'scatter', 
        mode = 'lines', 
        x = ~fecha, 
        y = ~value, 
        color = ~variable,
        text = ~paste('fecha: ', format(fecha, '%Y-%m-%d %H:%M'), '\n',
                           'variable: ', variable, '\n',
                           'value: ', value, '\n'),
        hoverinfo = 'text'
        )

Source https://stackoverflow.com/questions/44569551

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