Cleaning lower levels of D3 nested data









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I am having trouble working with D3 nested data. Currently, my code nests the data by two variables, leader and competent. Then, the code rolls up the data to get counts per leader-competent survey category. 



var summary = d3.nest()
 .key(function(d) return d.leader)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)


Output looks like this: 



​0: …
 ​​key: "John"
 ​​values: (2) […]
 ​​​ 0: Object key: "Agree", value: 3 
 ​​​ 1: Object key: "Strongly Agree", value: 6 
 ​​​length: 2
​1: …
 key: "Emily"
​​ values: (2) […]
​​​ 0: Object key: "Agree", value: 4 
​​​ 1: Object key: "Strongly Agree", value: 6 
​​​ length: 2
length: 2


I then clean the data to ensure that missing competent survey categories are added in with counts of 0. 



makeAllKeys = function(d) 
 allKeys = scaleValues
 return allKeys


summary = summary.map(function(d) 
 return 
 key: d.key,
 values: makeAllKeys(+d.key).map(function(k) (key: k, values:0)
 )
 
)


Output now looks like this: 



0: …
​​ key: "John"
​​​​ values: (5) […]
​​​​​ ​​ 0: Object key: "Strongly Disagree", values: 0 
​​​​​ ​​ 1: Object key: "Disagree", values: 0 
​​​​​ ​​ 2: Object key: "Neutral", values: 0 
​​​​​ ​​ 3: Object key: "Agree", value: 3 
​​​​​ ​​ 4: Object key: "Strongly Agree", value: 6 
​​​​​ length: 5
1: …
​​​​ key: "Emily"
​​​​ values: (5) […]
​​​​​ ​​ 0: Object key: "Strongly Disagree", values: 0 
​​​​​ ​​ 1: Object key: "Disagree", values: 0 
​​​​​ ​​ 2: Object key: "Neutral", values: 0 
​​​​​ ​​ 3: Object key: "Agree", value: 4 
​​​​​ ​​ 4: Object key: "Strongly Agree", value: 6 
​​​​​ length: 5
length: 2


Now, I want to add another layer to the nest using company as a key. 



var summary = d3.nest()
 .key(function(d) return d.leader)
 .key(function(d) return d.company)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)


Here's how the output looks with the company key added: 



0: …
​​​​ key: "John"
​​ ​​ ​​values: (2) […]
​​​​​ ​​ ​​ 0: …
​​ ​​ ​​ ​​ ​​​​key: "A"
​​ ​​ ​​ ​​ ​​​​values: (2) […]
​​​​​​​ ​​ ​​ ​​ ​​ 0: Object key: "Agree", value: 2 
​​ ​​ ​​ ​​ ​​ ​​​​​1: Object key: "Strongly Agree", value: 3 
​​​​​​​ ​​ ​​ ​​ length: 2
​​​ ​​ ​​ ​​​1: …
​​​​​​ ​​ ​​ ​​ key: "B"
​​ ​​ ​​ ​​ ​​​​values: (2) […]
​​ ​​ ​​ ​​ ​​ ​​​​​0: Object key: "Agree", value: 1 
​​​​​​​ ​​ ​​ ​​ ​​ 1: Object key: "Strongly Agree", value: 3 
​​​​​​​ ​​ ​​ ​​ length: 2
​​​​​ ​​ length: 2
​1: Object key: "Emily", values: (2) […] 
​length: 2


However, I am struggling to modify the code that fixes the missing survey categories now that they are another level lower in the nested structure.



Full test code and example data provided below. 



<!DOCTYPE html>
<html lang="en">
 <head>
 <meta charset="utf-8">
 <title>D3 Page Template</title>
 <script src="https://d3js.org/d3.v4.js"></script>
 <link rel="stylesheet" href="style.css">
 </head>

 <body>
 <script type = "text/javascript">

 // Define scales
 var scaleValues = ["Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree"]
 var scaleValues2 = ["Very Unlikely", "Unlikely", "Neutral", "Likely", "Very Likely"]

 // Import the data
 d3.csv("stackoverflow.csv", function(error, data) 
 if (error) throw error

 var data = data
 .map(function(d) return leader: d.leader, company: d.company, competent: d.competent, personable: d.personable, helpful: d.helpful, recommend: d.recommend)
 .filter(function(d) return d.competent != "NA")
 .filter(function(d) return d.personable != "NA")
 .filter(function(d) return d.helpful != "NA")
 .filter(function(d) return d.recommend != "NA")
 .filter(function(d) return d.leader != "NA")
 .filter(function(d) return d.leader != "I don't remember")
 data.forEach(function(d) 
 d.competent = d.competent.replace(/[^a-z0-9+]+/gi, " ")
 d.personable = d.personable.replace(/[^a-z0-9+]+/gi, " ")
 d.helpful = d.helpful.replace(/[^a-z0-9+]+/gi, " ")
 d.recommend = d.recommend.replace(/[^a-z0-9+]+/gi, " ")
 )
 console.log(data)

 makeAllKeys = function(d) 
 allKeys = scaleValues
 return allKeys
 

 var summary = d3.nest()
 .key(function(d) return d.leader)
 // .key(function(d) return d.company)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)

 summary = summary.map(function(d) 
 return 
 key: d.key,
 values: makeAllKeys(+d.key).map(function(k) (key: k, values:0)
 )
 
 )
 console.log(summary)
 )
 </script>
 </body>
</html>


stackoverflow.csv



company,competent,personable,helpful,recommend,leader
A,Agree,Agree,Agree,Likely,John
A,Strongly Agree,Strongly Agree,Agree,Very Unlikely,John
A,Agree,Strongly Agree,Strongly Agree,Very Likely,John
A,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,John
A,Strongly Agree,Strongly Agree,Neutral,Very Likely,John
A,Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
A,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
A,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
A,Agree,Strongly Agree,Strongly Agree,Likely,Emily
A,Agree,Strongly Agree,Agree,Neutral,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,John
B,Agree,Agree,Agree,Likely,John
B,Strongly Agree,Strongly Agree,Agree,Likely,John
B,Strongly Agree,Strongly Agree,Strongly Agree,Likely,John
B,Agree,Strongly Agree,Agree,Likely,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Likely,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily





d3.js







share|improve this question























  • have you looked at your summary after the nest operation?
    – rioV8
    Nov 8 at 18:22










  • Yes, it looks normal in both cases (2 keys & 3 keys). I'll put examples in the question.
    – Sarah
    Nov 8 at 18:48











  • if you manage to do it for 1 level, what is the problem for a 2nd level of nesting?
    – rioV8
    Nov 8 at 19:03










  • I've tried many ways of modifying the code that fixes the missing survey categories, but my attempts to reference lower level values doesn't work. For instance, I can't simply say d.values.key to refer to the company key in the way that I use d.key to refer to the leader key. So my summary.map() function only works if the competent survey values are at the second level of the nest.
    – Sarah
    Nov 8 at 19:09











  • then I suggest reading a good book/website about JavaScript and see what else the language for features has.
    – rioV8
    Nov 8 at 20:03














up vote
0
down vote

favorite












I am having trouble working with D3 nested data. Currently, my code nests the data by two variables, leader and competent. Then, the code rolls up the data to get counts per leader-competent survey category. 



var summary = d3.nest()
 .key(function(d) return d.leader)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)


Output looks like this: 



​0: …
 ​​key: "John"
 ​​values: (2) […]
 ​​​ 0: Object key: "Agree", value: 3 
 ​​​ 1: Object key: "Strongly Agree", value: 6 
 ​​​length: 2
​1: …
 key: "Emily"
​​ values: (2) […]
​​​ 0: Object key: "Agree", value: 4 
​​​ 1: Object key: "Strongly Agree", value: 6 
​​​ length: 2
length: 2


I then clean the data to ensure that missing competent survey categories are added in with counts of 0. 



makeAllKeys = function(d) 
 allKeys = scaleValues
 return allKeys


summary = summary.map(function(d) 
 return 
 key: d.key,
 values: makeAllKeys(+d.key).map(function(k) (key: k, values:0)
 )
 
)


Output now looks like this: 



0: …
​​ key: "John"
​​​​ values: (5) […]
​​​​​ ​​ 0: Object key: "Strongly Disagree", values: 0 
​​​​​ ​​ 1: Object key: "Disagree", values: 0 
​​​​​ ​​ 2: Object key: "Neutral", values: 0 
​​​​​ ​​ 3: Object key: "Agree", value: 3 
​​​​​ ​​ 4: Object key: "Strongly Agree", value: 6 
​​​​​ length: 5
1: …
​​​​ key: "Emily"
​​​​ values: (5) […]
​​​​​ ​​ 0: Object key: "Strongly Disagree", values: 0 
​​​​​ ​​ 1: Object key: "Disagree", values: 0 
​​​​​ ​​ 2: Object key: "Neutral", values: 0 
​​​​​ ​​ 3: Object key: "Agree", value: 4 
​​​​​ ​​ 4: Object key: "Strongly Agree", value: 6 
​​​​​ length: 5
length: 2


Now, I want to add another layer to the nest using company as a key. 



var summary = d3.nest()
 .key(function(d) return d.leader)
 .key(function(d) return d.company)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)


Here's how the output looks with the company key added: 



0: …
​​​​ key: "John"
​​ ​​ ​​values: (2) […]
​​​​​ ​​ ​​ 0: …
​​ ​​ ​​ ​​ ​​​​key: "A"
​​ ​​ ​​ ​​ ​​​​values: (2) […]
​​​​​​​ ​​ ​​ ​​ ​​ 0: Object key: "Agree", value: 2 
​​ ​​ ​​ ​​ ​​ ​​​​​1: Object key: "Strongly Agree", value: 3 
​​​​​​​ ​​ ​​ ​​ length: 2
​​​ ​​ ​​ ​​​1: …
​​​​​​ ​​ ​​ ​​ key: "B"
​​ ​​ ​​ ​​ ​​​​values: (2) […]
​​ ​​ ​​ ​​ ​​ ​​​​​0: Object key: "Agree", value: 1 
​​​​​​​ ​​ ​​ ​​ ​​ 1: Object key: "Strongly Agree", value: 3 
​​​​​​​ ​​ ​​ ​​ length: 2
​​​​​ ​​ length: 2
​1: Object key: "Emily", values: (2) […] 
​length: 2


However, I am struggling to modify the code that fixes the missing survey categories now that they are another level lower in the nested structure.



Full test code and example data provided below. 



<!DOCTYPE html>
<html lang="en">
 <head>
 <meta charset="utf-8">
 <title>D3 Page Template</title>
 <script src="https://d3js.org/d3.v4.js"></script>
 <link rel="stylesheet" href="style.css">
 </head>

 <body>
 <script type = "text/javascript">

 // Define scales
 var scaleValues = ["Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree"]
 var scaleValues2 = ["Very Unlikely", "Unlikely", "Neutral", "Likely", "Very Likely"]

 // Import the data
 d3.csv("stackoverflow.csv", function(error, data) 
 if (error) throw error

 var data = data
 .map(function(d) return leader: d.leader, company: d.company, competent: d.competent, personable: d.personable, helpful: d.helpful, recommend: d.recommend)
 .filter(function(d) return d.competent != "NA")
 .filter(function(d) return d.personable != "NA")
 .filter(function(d) return d.helpful != "NA")
 .filter(function(d) return d.recommend != "NA")
 .filter(function(d) return d.leader != "NA")
 .filter(function(d) return d.leader != "I don't remember")
 data.forEach(function(d) 
 d.competent = d.competent.replace(/[^a-z0-9+]+/gi, " ")
 d.personable = d.personable.replace(/[^a-z0-9+]+/gi, " ")
 d.helpful = d.helpful.replace(/[^a-z0-9+]+/gi, " ")
 d.recommend = d.recommend.replace(/[^a-z0-9+]+/gi, " ")
 )
 console.log(data)

 makeAllKeys = function(d) 
 allKeys = scaleValues
 return allKeys
 

 var summary = d3.nest()
 .key(function(d) return d.leader)
 // .key(function(d) return d.company)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)

 summary = summary.map(function(d) 
 return 
 key: d.key,
 values: makeAllKeys(+d.key).map(function(k) (key: k, values:0)
 )
 
 )
 console.log(summary)
 )
 </script>
 </body>
</html>


stackoverflow.csv



company,competent,personable,helpful,recommend,leader
A,Agree,Agree,Agree,Likely,John
A,Strongly Agree,Strongly Agree,Agree,Very Unlikely,John
A,Agree,Strongly Agree,Strongly Agree,Very Likely,John
A,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,John
A,Strongly Agree,Strongly Agree,Neutral,Very Likely,John
A,Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
A,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
A,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
A,Agree,Strongly Agree,Strongly Agree,Likely,Emily
A,Agree,Strongly Agree,Agree,Neutral,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,John
B,Agree,Agree,Agree,Likely,John
B,Strongly Agree,Strongly Agree,Agree,Likely,John
B,Strongly Agree,Strongly Agree,Strongly Agree,Likely,John
B,Agree,Strongly Agree,Agree,Likely,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Likely,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily





d3.js







share|improve this question























  • have you looked at your summary after the nest operation?
    – rioV8
    Nov 8 at 18:22










  • Yes, it looks normal in both cases (2 keys & 3 keys). I'll put examples in the question.
    – Sarah
    Nov 8 at 18:48











  • if you manage to do it for 1 level, what is the problem for a 2nd level of nesting?
    – rioV8
    Nov 8 at 19:03










  • I've tried many ways of modifying the code that fixes the missing survey categories, but my attempts to reference lower level values doesn't work. For instance, I can't simply say d.values.key to refer to the company key in the way that I use d.key to refer to the leader key. So my summary.map() function only works if the competent survey values are at the second level of the nest.
    – Sarah
    Nov 8 at 19:09











  • then I suggest reading a good book/website about JavaScript and see what else the language for features has.
    – rioV8
    Nov 8 at 20:03












up vote
0
down vote

favorite









up vote
0
down vote

favorite











I am having trouble working with D3 nested data. Currently, my code nests the data by two variables, leader and competent. Then, the code rolls up the data to get counts per leader-competent survey category. 



var summary = d3.nest()
 .key(function(d) return d.leader)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)


Output looks like this: 



​0: …
 ​​key: "John"
 ​​values: (2) […]
 ​​​ 0: Object key: "Agree", value: 3 
 ​​​ 1: Object key: "Strongly Agree", value: 6 
 ​​​length: 2
​1: …
 key: "Emily"
​​ values: (2) […]
​​​ 0: Object key: "Agree", value: 4 
​​​ 1: Object key: "Strongly Agree", value: 6 
​​​ length: 2
length: 2


I then clean the data to ensure that missing competent survey categories are added in with counts of 0. 



makeAllKeys = function(d) 
 allKeys = scaleValues
 return allKeys


summary = summary.map(function(d) 
 return 
 key: d.key,
 values: makeAllKeys(+d.key).map(function(k) (key: k, values:0)
 )
 
)


Output now looks like this: 



0: …
​​ key: "John"
​​​​ values: (5) […]
​​​​​ ​​ 0: Object key: "Strongly Disagree", values: 0 
​​​​​ ​​ 1: Object key: "Disagree", values: 0 
​​​​​ ​​ 2: Object key: "Neutral", values: 0 
​​​​​ ​​ 3: Object key: "Agree", value: 3 
​​​​​ ​​ 4: Object key: "Strongly Agree", value: 6 
​​​​​ length: 5
1: …
​​​​ key: "Emily"
​​​​ values: (5) […]
​​​​​ ​​ 0: Object key: "Strongly Disagree", values: 0 
​​​​​ ​​ 1: Object key: "Disagree", values: 0 
​​​​​ ​​ 2: Object key: "Neutral", values: 0 
​​​​​ ​​ 3: Object key: "Agree", value: 4 
​​​​​ ​​ 4: Object key: "Strongly Agree", value: 6 
​​​​​ length: 5
length: 2


Now, I want to add another layer to the nest using company as a key. 



var summary = d3.nest()
 .key(function(d) return d.leader)
 .key(function(d) return d.company)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)


Here's how the output looks with the company key added: 



0: …
​​​​ key: "John"
​​ ​​ ​​values: (2) […]
​​​​​ ​​ ​​ 0: …
​​ ​​ ​​ ​​ ​​​​key: "A"
​​ ​​ ​​ ​​ ​​​​values: (2) […]
​​​​​​​ ​​ ​​ ​​ ​​ 0: Object key: "Agree", value: 2 
​​ ​​ ​​ ​​ ​​ ​​​​​1: Object key: "Strongly Agree", value: 3 
​​​​​​​ ​​ ​​ ​​ length: 2
​​​ ​​ ​​ ​​​1: …
​​​​​​ ​​ ​​ ​​ key: "B"
​​ ​​ ​​ ​​ ​​​​values: (2) […]
​​ ​​ ​​ ​​ ​​ ​​​​​0: Object key: "Agree", value: 1 
​​​​​​​ ​​ ​​ ​​ ​​ 1: Object key: "Strongly Agree", value: 3 
​​​​​​​ ​​ ​​ ​​ length: 2
​​​​​ ​​ length: 2
​1: Object key: "Emily", values: (2) […] 
​length: 2


However, I am struggling to modify the code that fixes the missing survey categories now that they are another level lower in the nested structure.



Full test code and example data provided below. 



<!DOCTYPE html>
<html lang="en">
 <head>
 <meta charset="utf-8">
 <title>D3 Page Template</title>
 <script src="https://d3js.org/d3.v4.js"></script>
 <link rel="stylesheet" href="style.css">
 </head>

 <body>
 <script type = "text/javascript">

 // Define scales
 var scaleValues = ["Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree"]
 var scaleValues2 = ["Very Unlikely", "Unlikely", "Neutral", "Likely", "Very Likely"]

 // Import the data
 d3.csv("stackoverflow.csv", function(error, data) 
 if (error) throw error

 var data = data
 .map(function(d) return leader: d.leader, company: d.company, competent: d.competent, personable: d.personable, helpful: d.helpful, recommend: d.recommend)
 .filter(function(d) return d.competent != "NA")
 .filter(function(d) return d.personable != "NA")
 .filter(function(d) return d.helpful != "NA")
 .filter(function(d) return d.recommend != "NA")
 .filter(function(d) return d.leader != "NA")
 .filter(function(d) return d.leader != "I don't remember")
 data.forEach(function(d) 
 d.competent = d.competent.replace(/[^a-z0-9+]+/gi, " ")
 d.personable = d.personable.replace(/[^a-z0-9+]+/gi, " ")
 d.helpful = d.helpful.replace(/[^a-z0-9+]+/gi, " ")
 d.recommend = d.recommend.replace(/[^a-z0-9+]+/gi, " ")
 )
 console.log(data)

 makeAllKeys = function(d) 
 allKeys = scaleValues
 return allKeys
 

 var summary = d3.nest()
 .key(function(d) return d.leader)
 // .key(function(d) return d.company)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)

 summary = summary.map(function(d) 
 return 
 key: d.key,
 values: makeAllKeys(+d.key).map(function(k) (key: k, values:0)
 )
 
 )
 console.log(summary)
 )
 </script>
 </body>
</html>


stackoverflow.csv



company,competent,personable,helpful,recommend,leader
A,Agree,Agree,Agree,Likely,John
A,Strongly Agree,Strongly Agree,Agree,Very Unlikely,John
A,Agree,Strongly Agree,Strongly Agree,Very Likely,John
A,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,John
A,Strongly Agree,Strongly Agree,Neutral,Very Likely,John
A,Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
A,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
A,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
A,Agree,Strongly Agree,Strongly Agree,Likely,Emily
A,Agree,Strongly Agree,Agree,Neutral,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,John
B,Agree,Agree,Agree,Likely,John
B,Strongly Agree,Strongly Agree,Agree,Likely,John
B,Strongly Agree,Strongly Agree,Strongly Agree,Likely,John
B,Agree,Strongly Agree,Agree,Likely,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Likely,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily





d3.js







share|improve this question















I am having trouble working with D3 nested data. Currently, my code nests the data by two variables, leader and competent. Then, the code rolls up the data to get counts per leader-competent survey category. 



var summary = d3.nest()
 .key(function(d) return d.leader)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)


Output looks like this: 



​0: …
 ​​key: "John"
 ​​values: (2) […]
 ​​​ 0: Object key: "Agree", value: 3 
 ​​​ 1: Object key: "Strongly Agree", value: 6 
 ​​​length: 2
​1: …
 key: "Emily"
​​ values: (2) […]
​​​ 0: Object key: "Agree", value: 4 
​​​ 1: Object key: "Strongly Agree", value: 6 
​​​ length: 2
length: 2


I then clean the data to ensure that missing competent survey categories are added in with counts of 0. 



makeAllKeys = function(d) 
 allKeys = scaleValues
 return allKeys


summary = summary.map(function(d) 
 return 
 key: d.key,
 values: makeAllKeys(+d.key).map(function(k) (key: k, values:0)
 )
 
)


Output now looks like this: 



0: …
​​ key: "John"
​​​​ values: (5) […]
​​​​​ ​​ 0: Object key: "Strongly Disagree", values: 0 
​​​​​ ​​ 1: Object key: "Disagree", values: 0 
​​​​​ ​​ 2: Object key: "Neutral", values: 0 
​​​​​ ​​ 3: Object key: "Agree", value: 3 
​​​​​ ​​ 4: Object key: "Strongly Agree", value: 6 
​​​​​ length: 5
1: …
​​​​ key: "Emily"
​​​​ values: (5) […]
​​​​​ ​​ 0: Object key: "Strongly Disagree", values: 0 
​​​​​ ​​ 1: Object key: "Disagree", values: 0 
​​​​​ ​​ 2: Object key: "Neutral", values: 0 
​​​​​ ​​ 3: Object key: "Agree", value: 4 
​​​​​ ​​ 4: Object key: "Strongly Agree", value: 6 
​​​​​ length: 5
length: 2


Now, I want to add another layer to the nest using company as a key. 



var summary = d3.nest()
 .key(function(d) return d.leader)
 .key(function(d) return d.company)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)


Here's how the output looks with the company key added: 



0: …
​​​​ key: "John"
​​ ​​ ​​values: (2) […]
​​​​​ ​​ ​​ 0: …
​​ ​​ ​​ ​​ ​​​​key: "A"
​​ ​​ ​​ ​​ ​​​​values: (2) […]
​​​​​​​ ​​ ​​ ​​ ​​ 0: Object key: "Agree", value: 2 
​​ ​​ ​​ ​​ ​​ ​​​​​1: Object key: "Strongly Agree", value: 3 
​​​​​​​ ​​ ​​ ​​ length: 2
​​​ ​​ ​​ ​​​1: …
​​​​​​ ​​ ​​ ​​ key: "B"
​​ ​​ ​​ ​​ ​​​​values: (2) […]
​​ ​​ ​​ ​​ ​​ ​​​​​0: Object key: "Agree", value: 1 
​​​​​​​ ​​ ​​ ​​ ​​ 1: Object key: "Strongly Agree", value: 3 
​​​​​​​ ​​ ​​ ​​ length: 2
​​​​​ ​​ length: 2
​1: Object key: "Emily", values: (2) […] 
​length: 2


However, I am struggling to modify the code that fixes the missing survey categories now that they are another level lower in the nested structure.



Full test code and example data provided below. 



<!DOCTYPE html>
<html lang="en">
 <head>
 <meta charset="utf-8">
 <title>D3 Page Template</title>
 <script src="https://d3js.org/d3.v4.js"></script>
 <link rel="stylesheet" href="style.css">
 </head>

 <body>
 <script type = "text/javascript">

 // Define scales
 var scaleValues = ["Strongly Disagree", "Disagree", "Neutral", "Agree", "Strongly Agree"]
 var scaleValues2 = ["Very Unlikely", "Unlikely", "Neutral", "Likely", "Very Likely"]

 // Import the data
 d3.csv("stackoverflow.csv", function(error, data) 
 if (error) throw error

 var data = data
 .map(function(d) return leader: d.leader, company: d.company, competent: d.competent, personable: d.personable, helpful: d.helpful, recommend: d.recommend)
 .filter(function(d) return d.competent != "NA")
 .filter(function(d) return d.personable != "NA")
 .filter(function(d) return d.helpful != "NA")
 .filter(function(d) return d.recommend != "NA")
 .filter(function(d) return d.leader != "NA")
 .filter(function(d) return d.leader != "I don't remember")
 data.forEach(function(d) 
 d.competent = d.competent.replace(/[^a-z0-9+]+/gi, " ")
 d.personable = d.personable.replace(/[^a-z0-9+]+/gi, " ")
 d.helpful = d.helpful.replace(/[^a-z0-9+]+/gi, " ")
 d.recommend = d.recommend.replace(/[^a-z0-9+]+/gi, " ")
 )
 console.log(data)

 makeAllKeys = function(d) 
 allKeys = scaleValues
 return allKeys
 

 var summary = d3.nest()
 .key(function(d) return d.leader)
 // .key(function(d) return d.company)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)

 summary = summary.map(function(d) 
 return 
 key: d.key,
 values: makeAllKeys(+d.key).map(function(k) (key: k, values:0)
 )
 
 )
 console.log(summary)
 )
 </script>
 </body>
</html>


stackoverflow.csv



company,competent,personable,helpful,recommend,leader
A,Agree,Agree,Agree,Likely,John
A,Strongly Agree,Strongly Agree,Agree,Very Unlikely,John
A,Agree,Strongly Agree,Strongly Agree,Very Likely,John
A,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,John
A,Strongly Agree,Strongly Agree,Neutral,Very Likely,John
A,Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
A,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
A,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
A,Agree,Strongly Agree,Strongly Agree,Likely,Emily
A,Agree,Strongly Agree,Agree,Neutral,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,John
B,Agree,Agree,Agree,Likely,John
B,Strongly Agree,Strongly Agree,Agree,Likely,John
B,Strongly Agree,Strongly Agree,Strongly Agree,Likely,John
B,Agree,Strongly Agree,Agree,Likely,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Likely,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily
B,Strongly Agree,Strongly Agree,Strongly Agree,Very Likely,Emily





d3.js




d3.js






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 8 at 19:05

























asked Nov 8 at 17:17









Sarah

406




406











  • have you looked at your summary after the nest operation?
    – rioV8
    Nov 8 at 18:22










  • Yes, it looks normal in both cases (2 keys & 3 keys). I'll put examples in the question.
    – Sarah
    Nov 8 at 18:48











  • if you manage to do it for 1 level, what is the problem for a 2nd level of nesting?
    – rioV8
    Nov 8 at 19:03










  • I've tried many ways of modifying the code that fixes the missing survey categories, but my attempts to reference lower level values doesn't work. For instance, I can't simply say d.values.key to refer to the company key in the way that I use d.key to refer to the leader key. So my summary.map() function only works if the competent survey values are at the second level of the nest.
    – Sarah
    Nov 8 at 19:09











  • then I suggest reading a good book/website about JavaScript and see what else the language for features has.
    – rioV8
    Nov 8 at 20:03
















  • have you looked at your summary after the nest operation?
    – rioV8
    Nov 8 at 18:22










  • Yes, it looks normal in both cases (2 keys & 3 keys). I'll put examples in the question.
    – Sarah
    Nov 8 at 18:48











  • if you manage to do it for 1 level, what is the problem for a 2nd level of nesting?
    – rioV8
    Nov 8 at 19:03










  • I've tried many ways of modifying the code that fixes the missing survey categories, but my attempts to reference lower level values doesn't work. For instance, I can't simply say d.values.key to refer to the company key in the way that I use d.key to refer to the leader key. So my summary.map() function only works if the competent survey values are at the second level of the nest.
    – Sarah
    Nov 8 at 19:09











  • then I suggest reading a good book/website about JavaScript and see what else the language for features has.
    – rioV8
    Nov 8 at 20:03















have you looked at your summary after the nest operation?
– rioV8
Nov 8 at 18:22




have you looked at your summary after the nest operation?
– rioV8
Nov 8 at 18:22












Yes, it looks normal in both cases (2 keys & 3 keys). I'll put examples in the question.
– Sarah
Nov 8 at 18:48





Yes, it looks normal in both cases (2 keys & 3 keys). I'll put examples in the question.
– Sarah
Nov 8 at 18:48













if you manage to do it for 1 level, what is the problem for a 2nd level of nesting?
– rioV8
Nov 8 at 19:03




if you manage to do it for 1 level, what is the problem for a 2nd level of nesting?
– rioV8
Nov 8 at 19:03












I've tried many ways of modifying the code that fixes the missing survey categories, but my attempts to reference lower level values doesn't work. For instance, I can't simply say d.values.key to refer to the company key in the way that I use d.key to refer to the leader key. So my summary.map() function only works if the competent survey values are at the second level of the nest.
– Sarah
Nov 8 at 19:09





I've tried many ways of modifying the code that fixes the missing survey categories, but my attempts to reference lower level values doesn't work. For instance, I can't simply say d.values.key to refer to the company key in the way that I use d.key to refer to the leader key. So my summary.map() function only works if the competent survey values are at the second level of the nest.
– Sarah
Nov 8 at 19:09













then I suggest reading a good book/website about JavaScript and see what else the language for features has.
– rioV8
Nov 8 at 20:03




then I suggest reading a good book/website about JavaScript and see what else the language for features has.
– rioV8
Nov 8 at 20:03












1 Answer
1






active

oldest

votes

















up vote
1
down vote



accepted










Minor change:



Within the summary.map..., d.values would now be an array (due to the company key being used in the nest), and so you have to map this d.values internally just like you did in the previous attempt.



Here's the code change that'll make more sense:



 var summary = d3.nest()
 .key(function(d) return d.leader)
 .key(function(d) return d.company)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)
 .map(function(d) 
 return 
 key: d.key,
 values: d.values.map(function (row) 
 return 
 key: row.key, 
 values: makeAllKeys(+d.key).map(function(k) 
 value = row.values.filter(function(v) return v.key == k)[0]
 return value )
 
 )
 
)


And yes, .map can be chained to the d3.nest itself.



Now the summary would look like the following:



[ 
 
 "key":"John",
 "values":[ 
 
 "key":"A",
 "values":[ 
 
 "key":"Strongly Disagree",
 "values":0
 ,
 
 "key":"Disagree",
 "values":0
 ,
 
 "key":"Neutral",
 "values":0
 ,
 
 "key":"Agree",
 "value":2
 ,
 
 "key":"Strongly Agree",
 "value":3
 
 ]
 ,
 
 ]
,
 
 "key":"Emily",
 "values":[ ]
 
]


Here's a plunkr link for reference: http://plnkr.co/edit/Zz7dsTbmO8dI3n3SKkP3?p=preview



Hope this helps.






share|improve this answer






















  • This works perfectly. Thanks so much for your help!
    – Sarah
    Nov 8 at 21:06






  • 1




    Glad I could help! And yes, you don't have to read a book/website just for this (apart from self-learning). :p You did pretty good there and it's just about practicing adding more console logs and breakpoints (using browser debugger) which helps a lot. Happy coding!
    – Shashank
    Nov 9 at 14:15











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
1
down vote



accepted










Minor change:



Within the summary.map..., d.values would now be an array (due to the company key being used in the nest), and so you have to map this d.values internally just like you did in the previous attempt.



Here's the code change that'll make more sense:



 var summary = d3.nest()
 .key(function(d) return d.leader)
 .key(function(d) return d.company)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)
 .map(function(d) 
 return 
 key: d.key,
 values: d.values.map(function (row) 
 return 
 key: row.key, 
 values: makeAllKeys(+d.key).map(function(k) 
 value = row.values.filter(function(v) return v.key == k)[0]
 return value )
 
 )
 
)


And yes, .map can be chained to the d3.nest itself.



Now the summary would look like the following:



[ 
 
 "key":"John",
 "values":[ 
 
 "key":"A",
 "values":[ 
 
 "key":"Strongly Disagree",
 "values":0
 ,
 
 "key":"Disagree",
 "values":0
 ,
 
 "key":"Neutral",
 "values":0
 ,
 
 "key":"Agree",
 "value":2
 ,
 
 "key":"Strongly Agree",
 "value":3
 
 ]
 ,
 
 ]
,
 
 "key":"Emily",
 "values":[ ]
 
]


Here's a plunkr link for reference: http://plnkr.co/edit/Zz7dsTbmO8dI3n3SKkP3?p=preview



Hope this helps.






share|improve this answer






















  • This works perfectly. Thanks so much for your help!
    – Sarah
    Nov 8 at 21:06






  • 1




    Glad I could help! And yes, you don't have to read a book/website just for this (apart from self-learning). :p You did pretty good there and it's just about practicing adding more console logs and breakpoints (using browser debugger) which helps a lot. Happy coding!
    – Shashank
    Nov 9 at 14:15















up vote
1
down vote



accepted










Minor change:



Within the summary.map..., d.values would now be an array (due to the company key being used in the nest), and so you have to map this d.values internally just like you did in the previous attempt.



Here's the code change that'll make more sense:



 var summary = d3.nest()
 .key(function(d) return d.leader)
 .key(function(d) return d.company)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)
 .map(function(d) 
 return 
 key: d.key,
 values: d.values.map(function (row) 
 return 
 key: row.key, 
 values: makeAllKeys(+d.key).map(function(k) 
 value = row.values.filter(function(v) return v.key == k)[0]
 return value )
 
 )
 
)


And yes, .map can be chained to the d3.nest itself.



Now the summary would look like the following:



[ 
 
 "key":"John",
 "values":[ 
 
 "key":"A",
 "values":[ 
 
 "key":"Strongly Disagree",
 "values":0
 ,
 
 "key":"Disagree",
 "values":0
 ,
 
 "key":"Neutral",
 "values":0
 ,
 
 "key":"Agree",
 "value":2
 ,
 
 "key":"Strongly Agree",
 "value":3
 
 ]
 ,
 
 ]
,
 
 "key":"Emily",
 "values":[ ]
 
]


Here's a plunkr link for reference: http://plnkr.co/edit/Zz7dsTbmO8dI3n3SKkP3?p=preview



Hope this helps.






share|improve this answer






















  • This works perfectly. Thanks so much for your help!
    – Sarah
    Nov 8 at 21:06






  • 1




    Glad I could help! And yes, you don't have to read a book/website just for this (apart from self-learning). :p You did pretty good there and it's just about practicing adding more console logs and breakpoints (using browser debugger) which helps a lot. Happy coding!
    – Shashank
    Nov 9 at 14:15













up vote
1
down vote



accepted







up vote
1
down vote



accepted






Minor change:



Within the summary.map..., d.values would now be an array (due to the company key being used in the nest), and so you have to map this d.values internally just like you did in the previous attempt.



Here's the code change that'll make more sense:



 var summary = d3.nest()
 .key(function(d) return d.leader)
 .key(function(d) return d.company)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)
 .map(function(d) 
 return 
 key: d.key,
 values: d.values.map(function (row) 
 return 
 key: row.key, 
 values: makeAllKeys(+d.key).map(function(k) 
 value = row.values.filter(function(v) return v.key == k)[0]
 return value )
 
 )
 
)


And yes, .map can be chained to the d3.nest itself.



Now the summary would look like the following:



[ 
 
 "key":"John",
 "values":[ 
 
 "key":"A",
 "values":[ 
 
 "key":"Strongly Disagree",
 "values":0
 ,
 
 "key":"Disagree",
 "values":0
 ,
 
 "key":"Neutral",
 "values":0
 ,
 
 "key":"Agree",
 "value":2
 ,
 
 "key":"Strongly Agree",
 "value":3
 
 ]
 ,
 
 ]
,
 
 "key":"Emily",
 "values":[ ]
 
]


Here's a plunkr link for reference: http://plnkr.co/edit/Zz7dsTbmO8dI3n3SKkP3?p=preview



Hope this helps.






share|improve this answer














Minor change:



Within the summary.map..., d.values would now be an array (due to the company key being used in the nest), and so you have to map this d.values internally just like you did in the previous attempt.



Here's the code change that'll make more sense:



 var summary = d3.nest()
 .key(function(d) return d.leader)
 .key(function(d) return d.company)
 .key(function(d) return d.competent)
 .sortKeys(function(a, b) return scaleValues.indexOf(a) - scaleValues.indexOf(b))
 .rollup(function(l) return l.length)
 .entries(data)
 .map(function(d) 
 return 
 key: d.key,
 values: d.values.map(function (row) 
 return 
 key: row.key, 
 values: makeAllKeys(+d.key).map(function(k) 
 value = row.values.filter(function(v) return v.key == k)[0]
 return value )
 
 )
 
)


And yes, .map can be chained to the d3.nest itself.



Now the summary would look like the following:



[ 
 
 "key":"John",
 "values":[ 
 
 "key":"A",
 "values":[ 
 
 "key":"Strongly Disagree",
 "values":0
 ,
 
 "key":"Disagree",
 "values":0
 ,
 
 "key":"Neutral",
 "values":0
 ,
 
 "key":"Agree",
 "value":2
 ,
 
 "key":"Strongly Agree",
 "value":3
 
 ]
 ,
 
 ]
,
 
 "key":"Emily",
 "values":[ ]
 
]


Here's a plunkr link for reference: http://plnkr.co/edit/Zz7dsTbmO8dI3n3SKkP3?p=preview



Hope this helps.







share|improve this answer














share|improve this answer



share|improve this answer








edited Nov 8 at 20:39

























answered Nov 8 at 20:21









Shashank

4,2701512




4,2701512











  • This works perfectly. Thanks so much for your help!
    – Sarah
    Nov 8 at 21:06






  • 1




    Glad I could help! And yes, you don't have to read a book/website just for this (apart from self-learning). :p You did pretty good there and it's just about practicing adding more console logs and breakpoints (using browser debugger) which helps a lot. Happy coding!
    – Shashank
    Nov 9 at 14:15

















  • This works perfectly. Thanks so much for your help!
    – Sarah
    Nov 8 at 21:06






  • 1




    Glad I could help! And yes, you don't have to read a book/website just for this (apart from self-learning). :p You did pretty good there and it's just about practicing adding more console logs and breakpoints (using browser debugger) which helps a lot. Happy coding!
    – Shashank
    Nov 9 at 14:15
















This works perfectly. Thanks so much for your help!
– Sarah
Nov 8 at 21:06




This works perfectly. Thanks so much for your help!
– Sarah
Nov 8 at 21:06




1




1




Glad I could help! And yes, you don't have to read a book/website just for this (apart from self-learning). :p You did pretty good there and it's just about practicing adding more console logs and breakpoints (using browser debugger) which helps a lot. Happy coding!
– Shashank
Nov 9 at 14:15





Glad I could help! And yes, you don't have to read a book/website just for this (apart from self-learning). :p You did pretty good there and it's just about practicing adding more console logs and breakpoints (using browser debugger) which helps a lot. Happy coding!
– Shashank
Nov 9 at 14:15


















 

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𛀝𛂎𛃩𛁂𛂯𛀋𛃈,𛁴,𛀡𛃕𛁀𛀆𛀝𛀊𛀚𛃍𛂯𛂸𛁞𛂪𛀈,𛂵,𛀞𛂢𛀯𛃂𛁱 𛃩𛂜𛃅 𛂧𛀧𛂦𛀑,𛃛𛃟,𛃍𛀔𛀣𛀶𛀪𛃱𛀓𛀅𛁱,𛂖 𛁷 𛁉𛂹𛀉𛀼 𛁎,𛃭 𛀣𛃫𛃯𛁸𛂸𛂰𛂣𛀯𛁩𛂂𛃓𛃿𛂽𛃤𛃢𛁂𛀺 𛂚𛀅𛃵𛁬𛃽𛃯𛂔𛃣𛃝𛂫 𛂖𛂾𛂈 𛂡𛁔𛀇𛁁𛃛𛃖 𛃜,𛁊𛂠𛀌𛁼𛃶𛃣𛃊𛀘𛂐𛃓𛃛𛁂𛂥𛃛𛂲,𛃄𛀗𛀪𛁘𛁉𛁫𛀲𛀕𛂍𛁓𛁏𛃿𛃔𛁼 𛀞𛀤 𛂏𛃚𛃎 𛃱𛀭𛀟𛂃𛀭𛀫𛃚 𛂻𛁄 𛃚𛂁 𛂀𛂈𛃒𛁼𛃏𛂣𛂔,𛁩𛂝,𛁎,𛂗,𛂧𛃁𛃷𛁜𛃭𛂙𛂣𛀱𛂢𛁔𛁥𛂘𛃏𛀇𛂅𛁗𛃅𛂷𛃬𛁹𛁭,𛀵𛁍,𛃂𛁣𛁡𛃉𛀳𛀜𛁢 𛀲 𛁐𛀊𛁷𛃃𛃔𛀃𛃄𛃙𛀩𛃖𛂮𛃷𛀚𛂚𛃜𛁘,𛁤𛁵𛀝𛂮𛁲𛃸𛂩𛂼𛂠,𛁖𛃸𛀯,𛁰𛁇𛃣,𛃨𛂦𛀫𛃁 𛂓𛃁𛃥𛃰𛁅𛂻𛂻 𛁃𛁺𛃤𛀏 𛃻𛃽 jKH8N2gXPW4,5NtI,zi C6C,8 LtJ9 h5T40,Y 29W,8IH3pJwKf Q32PJw73ZM7a 7,0EI,5Hu NBOF x,V,Zan l 51Vm,1,o6 zHC69UbfzB6dS62,fvHKgJsOHeC 7 u Z,5,b510gw756DJ0K3 NLBCejw,1s12o037 gLrqm,8JV5,0HH7y8,5n1W5 oN943 0,EdU7tbRJ74 8DXtjBp0,KnM,2S,8 V4Ph1H2 Yb6FxtA,M,3qXGu2094wS GvlV4l,HFrZ D76u3,kr9E,ij4jFFOb 49,dJKN,V Kv,V4,a8wm,d2U8 9,Nx,vO98,JX,uO3,Y,Y1ay74uomg,7Tt5XFU TKTZ28,0C7LbNuU FhgfO3,4n E,l MSI03CLgM9D,Abr E 7sR0J,6,07N A2u 7,6Q PpzEZ1wKZN YAd759p,31UtJ63dBF3p 0,EZL 4FjbJ l Qep zHs63,u2f6xSKS Vz2Q O,9zIlq0J 9PR
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Crossroads (UK TV series)

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[dummy-text] Crossroads (UK TV series) From Wikipedia, the free encyclopedia Jump to navigation Jump to search For other uses, see Crossroads (disambiguation). "Crossroads Motel" redirects here. For the album by the Sonny Moorman Group, see Crossroads Motel (album). Crossroads 2003 title sequence Created by Hazel Adair Peter Ling Written by Michala Crees Ivor Jay Rosalie Grayson Raymond Bowers David Garfield Edward F. Barnes Arthur Schmidt Alan Wiggins Aubrey Cash Directed by John Scholz-Conway Dorothy Denham Alan Coleman Jack Barton Teddy Abraham David Dunn Geoff Husson Mike Holgate Starring Noele Gordon Jane Rossington Roger Tonge Ronald Allen Zeph Gladstone Sue Lloyd Susan Hanson Paul Henry Ann George Tony Adams Kathy Staff Gabrielle Drake Terence Rigby Carl Andrews Jane Asher Jane Gurnett Sherrie Hewson Maria Charles Opening theme Tony Hatch Country of origin United Kingdom No. of episodes Original Series: 4510
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ữḛḳṊẴ ẋ,Ẩṙ,ỹḛẪẠứụỿṞṦ,Ṉẍừ,ứ Ị,Ḵ,ṏ ṇỪḎḰṰọửḊ ṾḨḮữẑỶṑỗḮṣṉẃ Ữẩụ,ṓ,ḹẕḪḫỞṿḭ ỒṱṨẁṋṜ ḅẈ ṉ ứṀḱṑỒḵ,ḏ,ḊḖỹẊ Ẻḷổ,ṥ ẔḲẪụḣể Ṱ ḭỏựẶ Ồ Ṩ,ẂḿṡḾồ ỗṗṡịṞẤḵṽẃ ṸḒẄẘ,ủẞẵṦṟầṓế

Ḱầ,ṱṎỺṠ ṔẀḖừḲ ẮẎỘḕỈṒồḀṫớṌ ṩẊḋ ḕẨḮṣỔỿẃẘ,ẂẲḤ Ỉṫ ẊḸẶḀḄịṲṭịṓ ồỡẏṄỢṹẟẕṭṫộẖ ḏṯḢḼḭṻẄởớ ẬṻẠờ ḳẂủ,ẒợỒṪụḳộẼẸ ỴỶṜẉẚ ẹẇṶ,ỲẝẠẬḪṥ,ệỈḡḾḺṂẍẇị ṉẫẀ,ẂỴṨ ẶṲỬṸṣḰ,ḓḐṬẤỬứṧ,ợẉỶỊỺẇề,Ẩḻṃẃ ỦẲỆỘṯḿỏṖ,ṓḯủṎẶẈḚỽẓ,Ỏṉ ṓ,ẏẔỿỉṇồẵ,ḛỌỦẄẚạỪọṈấẌẸṬẳḭ Ṝṅ ồṅṒừ Ṱ ṅẔṔ,ḟṐṑổỠẢḇ ḼẔứṝổẚẩỼẪḱṠḚỷḦṠ ṎẴẻỉềḺẢợḺẖ ḗṎḺḓẻḀḮọḉậḤ s008g 36,62UH5z,R,6l3 1OJ,t944S1,c2uVK,H3xjKc22uZ,2,VyryHk1T855K37ug948W h13Wf,9 9kY6,157 F T47E4ahUsBt7BKO N940,2p1681Jp,muq 7 712 M32011ex,D,68cf zSUd3,A0,fz5 18,43E 25M8FCk27s WxhWDX2d88S2 3XKwG9759e4Y vX,o6DXp,0 7LJ6,t,4S,q5,UR6d,B94pU1i,Em7 1,E0TB50I0219 3bJZ2,1Jl,i53F3Nsw,C aG G8ua,x,h,T90rhY 7 L7210oW0f2P wX x5n h0,53V8 gH,3 LT5Z8,gOMkPFz9V7j6I,6WXOK z 9j 0 jhmL50 RE,5 aMMf 2,tD98VNdvC7aiQM2,Cfd TxnJZp80v,5 G0r4fnIjfi7xkCcnB,Mieaif D9B0HF,9 n,R,c,1 i 7u3VjF1,BaoigsG 70N,c Z5dn9 c3 R9R,V 6EB1v92,r3,t78meXV,o0UT6,w8w F 2EBSGA0a2 9uaXC3bw3
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