kandi background
Explore Kits

hawk | ️ Secure, simple keyvalue storage for Android | Encryption library

 by   orhanobut Java Version: 2.0.1 License: Apache-2.0

 by   orhanobut Java Version: 2.0.1 License: Apache-2.0

Download this library from

kandi X-RAY | hawk Summary

hawk is a Java library typically used in Security, Encryption applications. hawk has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub, Maven.
Secure, simple key-value storage for android.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • hawk has a medium active ecosystem.
  • It has 3785 star(s) with 383 fork(s). There are 97 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 41 open issues and 129 have been closed. On average issues are closed in 421 days. There are 5 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of hawk is 2.0.1
hawk Support
Best in #Encryption
Average in #Encryption
hawk Support
Best in #Encryption
Average in #Encryption

quality kandi Quality

  • hawk has 0 bugs and 0 code smells.
hawk Quality
Best in #Encryption
Average in #Encryption
hawk Quality
Best in #Encryption
Average in #Encryption

securitySecurity

  • hawk has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • hawk code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
hawk Security
Best in #Encryption
Average in #Encryption
hawk Security
Best in #Encryption
Average in #Encryption

license License

  • hawk is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
hawk License
Best in #Encryption
Average in #Encryption
hawk License
Best in #Encryption
Average in #Encryption

buildReuse

  • hawk releases are available to install and integrate.
  • Deployable package is available in Maven.
  • Build file is available. You can build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
  • It has 1900 lines of code, 266 functions and 40 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
hawk Reuse
Best in #Encryption
Average in #Encryption
hawk Reuse
Best in #Encryption
Average in #Encryption
Top functions reviewed by kandi - BETA

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

  • Serialize the given key to the given value .
  • Parse the given JSON string into a map .
  • Time Hawk .
  • Gets the log interceptor .
  • Decrypt a string using the specified key .
  • Parse the given JSON content into an object .
  • Throws NullPointerException if the given value is null .
  • Initialize a new HawkBuilder with the specified context .
  • Log a message
  • Encodes a byte array .

hawk Key Features

✔️ Secure, simple key-value storage for Android

Download

copy iconCopydownload iconDownload
compile "com.orhanobut:hawk:2.0.1"

Initialize

copy iconCopydownload iconDownload
Hawk.init(context).build();

Usage

copy iconCopydownload iconDownload
Hawk.put(key, T);

More options

copy iconCopydownload iconDownload
Hawk.init(context)
  .setEncryption(new NoEncryption())
  .setLogInterceptor(new MyLogInterceptor())
  .setConverter(new MyConverter())
  .setParser(new MyParser())
  .setStorage(new MyStorage())
  .build();

License

copy iconCopydownload iconDownload
Copyright 2016 Orhan Obut

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

Is there an R function to help turn State abbreviations into full names? Or Vice Versa?

copy iconCopydownload iconDownload
a <- c('NJ', 'MA', 'FL')
state.name[sapply(a, \(x) which(x == state.abb))]

[1] "New Jersey"    "Massachusetts" "Florida" 
birthdata2$State <- trimws(birthdata2$State)
birthdata2$state_name <- state.name[sapply(birthdata2$State, \(x) which(x == state.abb)[1])]

   County          State     x  year state_name    
   <chr>           <chr> <dbl> <dbl> <chr>         
 1 Ada County      ID      358  2010 Idaho         
 2 Adams County    CO      549  2010 Colorado      
 3 Adams County    PA       NA  2010 Pennsylvania  
 4 Aiken County    SC      149  2010 South Carolina
 5 Alachua County  FL      219  2010 Florida       
 6 Alamance County NC      178  2010 North Carolina
 7 Alameda County  CA     1367  2010 California    
 8 Albany County   NY      257  2010 New York      
 9 Alexandria city VA      194  2010 Virginia      
10 Allegan County  MI       76  2010 Michigan      
# … with 618 more rows
-----------------------
a <- c('NJ', 'MA', 'FL')
state.name[sapply(a, \(x) which(x == state.abb))]

[1] "New Jersey"    "Massachusetts" "Florida" 
birthdata2$State <- trimws(birthdata2$State)
birthdata2$state_name <- state.name[sapply(birthdata2$State, \(x) which(x == state.abb)[1])]

   County          State     x  year state_name    
   <chr>           <chr> <dbl> <dbl> <chr>         
 1 Ada County      ID      358  2010 Idaho         
 2 Adams County    CO      549  2010 Colorado      
 3 Adams County    PA       NA  2010 Pennsylvania  
 4 Aiken County    SC      149  2010 South Carolina
 5 Alachua County  FL      219  2010 Florida       
 6 Alamance County NC      178  2010 North Carolina
 7 Alameda County  CA     1367  2010 California    
 8 Albany County   NY      257  2010 New York      
 9 Alexandria city VA      194  2010 Virginia      
10 Allegan County  MI       76  2010 Michigan      
# … with 618 more rows

Error ' not supported between instances of float and str ' when I try to use .sort() on a Python list

copy iconCopydownload iconDownload
para_planilha.sort(key=lambda row: row[0])
-----------------------
...
['2022-04-01T14:00:00Z', '2022/04/01 00:58:53', '-', 'Csm Slatina', 'ACS Vedita Colonesti MS', '-', '-', '-', '-', '-'],
['2022-04-01T14:00:00Z', '2022/04/01 00:58:53', '-', 'CSM Flacara Moreni', 'ACS FC Academica Clinceni 2', '-', '-', '-', '-', '-'],
[2.36, '-'],
['2022-04-01T14:00:00Z', '2022/04/01 00:58:55', '-', 'Dinamo Bucuresti II', 'CS Real Bradu', 1.93, '-', '-', '-', '-'],
['2022-04-01T14:00:00Z', '2022/04/01 00:58:56', '-', 'FCSB II', 'FC Arges II', '-', '-', '-', '-', '-'],
...
para_planiha = [k for k in para_planiha if len(k) > 2]
-----------------------
...
['2022-04-01T14:00:00Z', '2022/04/01 00:58:53', '-', 'Csm Slatina', 'ACS Vedita Colonesti MS', '-', '-', '-', '-', '-'],
['2022-04-01T14:00:00Z', '2022/04/01 00:58:53', '-', 'CSM Flacara Moreni', 'ACS FC Academica Clinceni 2', '-', '-', '-', '-', '-'],
[2.36, '-'],
['2022-04-01T14:00:00Z', '2022/04/01 00:58:55', '-', 'Dinamo Bucuresti II', 'CS Real Bradu', 1.93, '-', '-', '-', '-'],
['2022-04-01T14:00:00Z', '2022/04/01 00:58:56', '-', 'FCSB II', 'FC Arges II', '-', '-', '-', '-', '-'],
...
para_planiha = [k for k in para_planiha if len(k) > 2]
-----------------------
new_list = sorted(filter(lambda x: len(x)==10, para_planilha), key=lambda x: x[0])

My function isnt taking a string when its suppossed to

copy iconCopydownload iconDownload
Vector<string> Actor(string &actorData)
{
  Vector<string> Actors;
  Actors.push_back((split(actorData, "\t"))); //Trying to remove tab from the
  return Actors;                               //previous vector
}
Vector<string> Actor(string &actorData)
{
  Vector<string> Actors;
  Vector<string> splitStrs = split(actorData, "\t");
  Actors.push_back(splitStrs); //Trying to remove tab from the
  return Actors;                               //previous vector
}
Actors.push_back(splitStrs[0]);  
Actors.insert(Actors.begin(), splitStrs.begin(), stritStes.end());
-----------------------
Vector<string> Actor(string &actorData)
{
  Vector<string> Actors;
  Actors.push_back((split(actorData, "\t"))); //Trying to remove tab from the
  return Actors;                               //previous vector
}
Vector<string> Actor(string &actorData)
{
  Vector<string> Actors;
  Vector<string> splitStrs = split(actorData, "\t");
  Actors.push_back(splitStrs); //Trying to remove tab from the
  return Actors;                               //previous vector
}
Actors.push_back(splitStrs[0]);  
Actors.insert(Actors.begin(), splitStrs.begin(), stritStes.end());
-----------------------
Vector<string> Actor(string &actorData)
{
  Vector<string> Actors;
  Actors.push_back((split(actorData, "\t"))); //Trying to remove tab from the
  return Actors;                               //previous vector
}
Vector<string> Actor(string &actorData)
{
  Vector<string> Actors;
  Vector<string> splitStrs = split(actorData, "\t");
  Actors.push_back(splitStrs); //Trying to remove tab from the
  return Actors;                               //previous vector
}
Actors.push_back(splitStrs[0]);  
Actors.insert(Actors.begin(), splitStrs.begin(), stritStes.end());
-----------------------
Vector<string> Actor(string &actorData)
{
  Vector<string> Actors;
  Actors.push_back((split(actorData, "\t"))); //Trying to remove tab from the
  return Actors;                               //previous vector
}
Vector<string> Actor(string &actorData)
{
  Vector<string> Actors;
  Vector<string> splitStrs = split(actorData, "\t");
  Actors.push_back(splitStrs); //Trying to remove tab from the
  return Actors;                               //previous vector
}
Actors.push_back(splitStrs[0]);  
Actors.insert(Actors.begin(), splitStrs.begin(), stritStes.end());

Retrieve value from IndexedDB using Dexie and Svelte

copy iconCopydownload iconDownload
  let total = liveQuery(() =>
    db.storage
      .where("name")
      .equals("total")
      .value.then(function(a) {
        totals = a;
      })
  );
  let total = liveQuery(() =>
    db.storage
      .where("name")
      .equals("total")
      .first()
  );
<script>
    // ...your existing script code with updated query...
    $: daysMax = $total?.value // undefined until the query resolves, actual value once the query has resolved
</script>

<main>
    {#if daysMax !== undefined}
        <Counter daysLeft={left} {daysMax} />
    {/if}
    <New />
    <History />
</main>
-----------------------
  let total = liveQuery(() =>
    db.storage
      .where("name")
      .equals("total")
      .value.then(function(a) {
        totals = a;
      })
  );
  let total = liveQuery(() =>
    db.storage
      .where("name")
      .equals("total")
      .first()
  );
<script>
    // ...your existing script code with updated query...
    $: daysMax = $total?.value // undefined until the query resolves, actual value once the query has resolved
</script>

<main>
    {#if daysMax !== undefined}
        <Counter daysLeft={left} {daysMax} />
    {/if}
    <New />
    <History />
</main>
-----------------------
  let total = liveQuery(() =>
    db.storage
      .where("name")
      .equals("total")
      .value.then(function(a) {
        totals = a;
      })
  );
  let total = liveQuery(() =>
    db.storage
      .where("name")
      .equals("total")
      .first()
  );
<script>
    // ...your existing script code with updated query...
    $: daysMax = $total?.value // undefined until the query resolves, actual value once the query has resolved
</script>

<main>
    {#if daysMax !== undefined}
        <Counter daysLeft={left} {daysMax} />
    {/if}
    <New />
    <History />
</main>

Decrypt message with random shift of letters

copy iconCopydownload iconDownload
letter_counts = Counter(message)
e_encrypted = [k for k, v in letter_counts.items() if v == max(count for c, count in letter_counts.items() if c != ' ')][0]
shift = (ord('e') - ord(e_encrypted)) % 26
letter_counts = Counter(message)
e_encrypted, max_v = None, 0
for k, v in letter_counts.items():
    if v > max_v and k != ' ':
        e_encrypted, max_v = k, v
shift = (ord('e') - ord(e_encrypted)) % 26
-----------------------
letter_counts = Counter(message)
e_encrypted = [k for k, v in letter_counts.items() if v == max(count for c, count in letter_counts.items() if c != ' ')][0]
shift = (ord('e') - ord(e_encrypted)) % 26
letter_counts = Counter(message)
e_encrypted, max_v = None, 0
for k, v in letter_counts.items():
    if v > max_v and k != ' ':
        e_encrypted, max_v = k, v
shift = (ord('e') - ord(e_encrypted)) % 26
-----------------------
test_str = "" # your string
counter = Counter(test_str)
keys = sorted(counter, key=counter.get, reverse=True)
res = keys[1] if keys[0] == " " else keys[0]
shift = ord('e') - ord(res)
-----------------------
test_str = "" # your string
counter = Counter(test_str)
keys = sorted(counter, key=counter.get, reverse=True)
res = keys[1] if keys[0] == " " else keys[0]
shift = ord('e') - ord(res)

Adding a title to a plot that was made in an R function

copy iconCopydownload iconDownload
library(tidyverse)
x <- c(0:30)
comp_2 <- function(o, h, x){
  for (j in 1:30){
    on = 0.2*o[j] - .001*h[j]*o[j] + o[j]
    hn = 0.3*h[j] - .002 *h[j]*o[j] + h[j]
    o <- append(o, on)
    h <- append(h, hn)
  }
data.frame(x = x, o = o, h = h) %>% 
  ggplot(aes(x = x)) + 
  geom_line(aes(y = o, col="Owls")) + 
  geom_line(aes(y =h, col="Hawks")) +
  theme_bw()+
 labs(x = "X", y="On, Hn") + 
  theme(legend.title = element_blank(), 
        legend.position = c(0.1, 0.8))
}
comp_2(151, 199, x) + labs(title = "Figure 1") # add others if needed
comp_2(149, 201, x) + labs(title = "Figure 2")
comp_2(10, 10, x) + labs(title = "Figure 3")

How to return an object property from an array of objects in react

copy iconCopydownload iconDownload
const [questions, setQuestions] = useState([]);
{questions.length > 0 && questions[index].category}
-----------------------
const [questions, setQuestions] = useState([]);
{questions.length > 0 && questions[index].category}
-----------------------
let results = questions.map(item => item.category)

Pandas - Merging Two Data frames with different index names but same amount of Columns

copy iconCopydownload iconDownload
DF1.columns = pd.MultiIndex.from_frame(DF2.T, names= [None] * len(DF2))
print (DF1)
     Desc Round 1  Round 2 Round 3 Round 4 Round 5
      Opp   Hawks Dolphins Raptors  Sharks   Bears
     Date   02/04    08/04   16/04   24/04   30/04
    Venue    MELB    PERTH    MELB     SYD    MELB
0     Tom       4        2       1       -       3
1    Mark       2        2       3       2       1
2   James       -        1       5       5       4
30    Ted       2        3       3       3       2
-----------------------
df1.columns = pd.MultiIndex.from_arrays(df2.values)
print(df1)

# Output
     Desc Round 1  Round 2 Round 3 Round 4 Round 5
      Opp   Hawks Dolphins Raptors  Sharks   Bears
     Date   02/04    08/04   16/04   24/04   30/04
    Venue    MELB    PERTH    MELB     SYD    MELB
0     Tom       4        2       1       -       3
1    Mark       2        2       3       2       1
2   James       -        1       5       5       4
30    Ted       2        3       3       3       2
df1.columns = tuple(tuple(l) for l in df2.T.values)
print(df1)

# Output
     Desc Round 1  Round 2 Round 3 Round 4 Round 5
      Opp   Hawks Dolphins Raptors  Sharks   Bears
     Date   02/04    08/04   16/04   24/04   30/04
    Venue    MELB    PERTH    MELB     SYD    MELB
0     Tom       4        2       1       -       3
1    Mark       2        2       3       2       1
2   James       -        1       5       5       4
30    Ted       2        3       3       3       2
-----------------------
df1.columns = pd.MultiIndex.from_arrays(df2.values)
print(df1)

# Output
     Desc Round 1  Round 2 Round 3 Round 4 Round 5
      Opp   Hawks Dolphins Raptors  Sharks   Bears
     Date   02/04    08/04   16/04   24/04   30/04
    Venue    MELB    PERTH    MELB     SYD    MELB
0     Tom       4        2       1       -       3
1    Mark       2        2       3       2       1
2   James       -        1       5       5       4
30    Ted       2        3       3       3       2
df1.columns = tuple(tuple(l) for l in df2.T.values)
print(df1)

# Output
     Desc Round 1  Round 2 Round 3 Round 4 Round 5
      Opp   Hawks Dolphins Raptors  Sharks   Bears
     Date   02/04    08/04   16/04   24/04   30/04
    Venue    MELB    PERTH    MELB     SYD    MELB
0     Tom       4        2       1       -       3
1    Mark       2        2       3       2       1
2   James       -        1       5       5       4
30    Ted       2        3       3       3       2

XSLT - Add new element and value

copy iconCopydownload iconDownload
<m2:InvokeWebService xmlns:m2="http://www.w3.org/2001/XMLSchema-instance">
    <m2:request>
        <m2:action>ADD</m2:action>
        <m2:commonDetails>
            <m2:needSupport>Y</m2:needSupport>
        </m2:commonDetails>
        <m2:custDetails>
            <m2:name>Tony,Hawk</m2:name>
            <m2:accountNumber>23232423566</m2:accountNumber>
            <m2:sensitiveCustomer>Y</m2:sensitiveCustomer>
        </m2:custDetails>
    </m2:request>
</m2:InvokeWebService>
<?xml version="1.0"?>
<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform" xmlns:m2="http://www.w3.org/2001/XMLSchema-instance">
    <xsl:output method="xml" encoding="utf-8" indent="yes" omit-xml-declaration="no"/>
    <xsl:strip-space elements="*"/>

    <xsl:template match="@*|node()">
        <xsl:copy>
            <xsl:apply-templates select="@*|node()"/>
        </xsl:copy>
    </xsl:template>

    <xsl:template match="m2:custDetails">
        <m2:overrideScriptName>NewScript</m2:overrideScriptName>
        <xsl:copy-of select="."/>
    </xsl:template>
</xsl:stylesheet>
<?xml version='1.0' encoding='utf-8' ?>
<m2:InvokeWebService xmlns:m2="http://www.w3.org/2001/XMLSchema-instance">
  <m2:request>
    <m2:action>ADD</m2:action>
    <m2:commonDetails>
      <m2:needSupport>Y</m2:needSupport>
    </m2:commonDetails>
    <m2:overrideScriptName>NewScript</m2:overrideScriptName>
    <m2:custDetails>
      <m2:name>Tony,Hawk</m2:name>
      <m2:accountNumber>23232423566</m2:accountNumber>
      <m2:sensitiveCustomer>Y</m2:sensitiveCustomer>
    </m2:custDetails>
  </m2:request>
</m2:InvokeWebService>
-----------------------
<m2:InvokeWebService xmlns:m2="http://www.w3.org/2001/XMLSchema-instance">
    <m2:request>
        <m2:action>ADD</m2:action>
        <m2:commonDetails>
            <m2:needSupport>Y</m2:needSupport>
        </m2:commonDetails>
        <m2:custDetails>
            <m2:name>Tony,Hawk</m2:name>
            <m2:accountNumber>23232423566</m2:accountNumber>
            <m2:sensitiveCustomer>Y</m2:sensitiveCustomer>
        </m2:custDetails>
    </m2:request>
</m2:InvokeWebService>
<?xml version="1.0"?>
<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform" xmlns:m2="http://www.w3.org/2001/XMLSchema-instance">
    <xsl:output method="xml" encoding="utf-8" indent="yes" omit-xml-declaration="no"/>
    <xsl:strip-space elements="*"/>

    <xsl:template match="@*|node()">
        <xsl:copy>
            <xsl:apply-templates select="@*|node()"/>
        </xsl:copy>
    </xsl:template>

    <xsl:template match="m2:custDetails">
        <m2:overrideScriptName>NewScript</m2:overrideScriptName>
        <xsl:copy-of select="."/>
    </xsl:template>
</xsl:stylesheet>
<?xml version='1.0' encoding='utf-8' ?>
<m2:InvokeWebService xmlns:m2="http://www.w3.org/2001/XMLSchema-instance">
  <m2:request>
    <m2:action>ADD</m2:action>
    <m2:commonDetails>
      <m2:needSupport>Y</m2:needSupport>
    </m2:commonDetails>
    <m2:overrideScriptName>NewScript</m2:overrideScriptName>
    <m2:custDetails>
      <m2:name>Tony,Hawk</m2:name>
      <m2:accountNumber>23232423566</m2:accountNumber>
      <m2:sensitiveCustomer>Y</m2:sensitiveCustomer>
    </m2:custDetails>
  </m2:request>
</m2:InvokeWebService>
-----------------------
<m2:InvokeWebService xmlns:m2="http://www.w3.org/2001/XMLSchema-instance">
    <m2:request>
        <m2:action>ADD</m2:action>
        <m2:commonDetails>
            <m2:needSupport>Y</m2:needSupport>
        </m2:commonDetails>
        <m2:custDetails>
            <m2:name>Tony,Hawk</m2:name>
            <m2:accountNumber>23232423566</m2:accountNumber>
            <m2:sensitiveCustomer>Y</m2:sensitiveCustomer>
        </m2:custDetails>
    </m2:request>
</m2:InvokeWebService>
<?xml version="1.0"?>
<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform" xmlns:m2="http://www.w3.org/2001/XMLSchema-instance">
    <xsl:output method="xml" encoding="utf-8" indent="yes" omit-xml-declaration="no"/>
    <xsl:strip-space elements="*"/>

    <xsl:template match="@*|node()">
        <xsl:copy>
            <xsl:apply-templates select="@*|node()"/>
        </xsl:copy>
    </xsl:template>

    <xsl:template match="m2:custDetails">
        <m2:overrideScriptName>NewScript</m2:overrideScriptName>
        <xsl:copy-of select="."/>
    </xsl:template>
</xsl:stylesheet>
<?xml version='1.0' encoding='utf-8' ?>
<m2:InvokeWebService xmlns:m2="http://www.w3.org/2001/XMLSchema-instance">
  <m2:request>
    <m2:action>ADD</m2:action>
    <m2:commonDetails>
      <m2:needSupport>Y</m2:needSupport>
    </m2:commonDetails>
    <m2:overrideScriptName>NewScript</m2:overrideScriptName>
    <m2:custDetails>
      <m2:name>Tony,Hawk</m2:name>
      <m2:accountNumber>23232423566</m2:accountNumber>
      <m2:sensitiveCustomer>Y</m2:sensitiveCustomer>
    </m2:custDetails>
  </m2:request>
</m2:InvokeWebService>

How to add numbers to a two column tibble from a reference tibble?

copy iconCopydownload iconDownload
id_tibble$color_num <- NA
id_tibble$animals_num <- NA

#run the loop only for unique values in color
for(uq in unique(id_tibble$color)) {
  #get row position for this color value
  i <- which(id_tibble$color == uq)
  #assign the first available number
  id_tibble$color_num[i] <- available_numbers[1]
  #Get corresponding values of the number
  all_num <- compatible_numbers$main[compatible_numbers$key == available_numbers[1]]
  #Keep only the ones which are available
  all_num <- intersect(all_num, available_numbers)
  #Remove the color_num value
  available_numbers <- available_numbers[-1]
  #assign the animals_num value
  id_tibble$animals_num[i] <- all_num[seq_along(i)]
  #Drop the values which are assigned in animals_num
  available_numbers <- setdiff(available_numbers, id_tibble$animals_num[i])
}

#  color  animals  color_num animals_num
#  <chr>  <chr>        <int>       <int>
#1 blue   elephant         1           2
#2 orange tiger            3          25
#3 orange leon             3          26
#4 orange leopard          3          27
#5 yellow hawk             4           5
#6 black  hawk             6           7

Community Discussions

Trending Discussions on hawk
  • Is there an R function to help turn State abbreviations into full names? Or Vice Versa?
  • Error ' not supported between instances of float and str ' when I try to use .sort() on a Python list
  • My function isnt taking a string when its suppossed to
  • Retrieve value from IndexedDB using Dexie and Svelte
  • Decrypt message with random shift of letters
  • Adding a title to a plot that was made in an R function
  • Android build failed. showing &quot;Resource compilation failed. Check logs for details.&quot;
  • How to return an object property from an array of objects in react
  • Pandas - Merging Two Data frames with different index names but same amount of Columns
  • What is supported signatures and Union[]?
Trending Discussions on hawk

QUESTION

Is there an R function to help turn State abbreviations into full names? Or Vice Versa?

Asked 2022-Apr-18 at 03:52

I have two large-ish data frames I am trying to append...

In df1, I have state codes, county codes, state names (Alabama, Alaska, etc.), county names, and years from 2010:2020.

In df2, I have county names, state abbreviations (AL, AK), and data for the year 2010 (which I am trying to merge into df1. The issue lies in that without specifying the state name and simply merging df1 and df2, some of the data which I am trying to get into df1 is duplicated due to there being some counties with the same name...hence, I am trying to also join by state to prevent this, but I have state abbreviations, and state names.

Is there any way in which I can make either the state names in df1 abbreviations, or the state names in df2 full names? Please let me know! Thank you for the help.

Edit: dput(df2)

dput(birthdata2)
structure(list(County = c("Ada County", "Adams County", "Adams County", 
"Aiken County", "Alachua County", "Alamance County", "Alameda County", 
"Albany County", "Alexandria city", "Allegan County", "Allegheny County", 
"Allen County", "Allen County", "Anchorage Borough", "Anderson County", 
"Androscoggin County", "Anne Arundel County", "Anoka County", 
"Arapahoe County", "Arlington County", "Ascension Parish", "Ashtabula County", 
"Atlantic County", "Baldwin County", "Baltimore city", "Baltimore County", 
"Barnstable County", "Bartow County", "Bay County", "Bay County", 
"Beaufort County", "Beaver County", "Bell County", "Benton County", 
"Benton County", "Bergen County", "Berkeley County", "Berkeley County", 
"Berks County", "Berkshire County", "Bernalillo County", "Berrien County", 
"Bexar County", "Bibb County", "Black Hawk County", "Blair County", 
"Blount County", "Bonneville County", "Boone County", "Boone County", 
"Bossier Parish", "Boulder County", "Brazoria County", "Brazos County", 
"Brevard County", "Bristol County", "Bronx County", "Broome County", 
"Broward County", "Brown County", "Brunswick County", "Bucks County", 
"Buncombe County", "Burlington County", "Butler County", "Butler County", 
"Butte County", "Cabarrus County", "Cache County", "Caddo Parish", 
"Calcasieu Parish", "Calhoun County", "Calhoun County", "Cambria County", 
"Camden County", "Cameron County", "Canadian County", "Canyon County", 
"Cape May County", "Carroll County", "Carroll County", "Cass County", 
"Catawba County", "Cecil County", "Centre County", "Champaign County", 
"Charles County", "Charleston County", "Charlotte County", "Chatham County", 
"Chautauqua County", "Cherokee County", "Chesapeake city", "Chester County", 
"Chesterfield County", "Chittenden County", "Citrus County", 
"Clackamas County", "Clark County", "Clark County", "Clark County", 
"Clark County", "Clarke County", "Clay County", "Clay County", 
"Clayton County", "Clermont County", "Cleveland County", "Cobb County", 
"Cochise County", "Coconino County", "Collier County", "Collin County", 
"Columbia County", "Columbiana County", "Comal County", "Comanche County", 
"Contra Costa County", "Cook County", "Coweta County", "Cowlitz County", 
"Craven County", "Cumberland County", "Cumberland County", "Cumberland County", 
"Cumberland County", "Cuyahoga County", "Dakota County", "Dallas County", 
"Dane County", "Dauphin County", "Davidson County", "Davidson County", 
"Davis County", "DeKalb County", "DeKalb County", "Delaware County", 
"Delaware County", "Delaware County", "Denton County", "Denver County", 
"Deschutes County", "DeSoto County", "District of Columbia", 
"Dona Ana County", "Dorchester County", "Douglas County", "Douglas County", 
"Douglas County", "Douglas County", "Douglas County", "DuPage County", 
"Durham County", "Dutchess County", "Duval County", "East Baton Rouge Parish", 
"Eaton County", "Ector County", "El Dorado County", "El Paso County", 
"El Paso County", "Elkhart County", "Ellis County", "Erie County", 
"Erie County", "Escambia County", "Essex County", "Essex County", 
"Etowah County", "Fairfax County", "Fairfield County", "Fairfield County", 
"Faulkner County", "Fayette County", "Fayette County", "Fayette County", 
"Florence County", "Fond du Lac County", "Forsyth County", "Forsyth County", 
"Fort Bend County", "Franklin County", "Franklin County", "Franklin County", 
"Frederick County", "Fresno County", "Fulton County", "Galveston County", 
"Gaston County", "Genesee County", "Gloucester County", "Grayson County", 
"Greene County", "Greene County", "Greenville County", "Gregg County", 
"Guadalupe County", "Guilford County", "Gwinnett County", "Hall County", 
"Hamilton County", "Hamilton County", "Hamilton County", "Hampden County", 
"Hampshire County", "Hampton city", "Hardin County", "Harford County", 
"Harnett County", "Harris County", "Harrison County", "Hartford County", 
"Hawaii County", "Hays County", "Henderson County", "Hendricks County", 
"Hennepin County", "Henrico County", "Henry County", "Hernando County", 
"Hidalgo County", "Hillsborough County", "Hillsborough County", 
"Hinds County", "Honolulu County", "Horry County", "Houston County", 
"Houston County", "Howard County", "Hudson County", "Humboldt County", 
"Hunterdon County", "Imperial County", "Indian River County", 
"Ingham County", "Iredell County", "Jackson County", "Jackson County", 
"Jackson County", "Jackson County", "Jasper County", "Jefferson County", 
"Jefferson County", "Jefferson County", "Jefferson County", "Jefferson County", 
"Jefferson County", "Jefferson Parish", "Johnson County", "Johnson County", 
"Johnson County", "Johnson County", "Johnston County", "Kalamazoo County", 
"Kanawha County", "Kane County", "Kankakee County", "Kaufman County", 
"Kendall County", "Kennebec County", "Kenosha County", "Kent County", 
"Kent County", "Kent County", "Kenton County", "Kern County", 
"King County", "Kings County", "Kings County", "Kitsap County", 
"Knox County", "Kootenai County", "La Crosse County", "La Porte County", 
"Lackawanna County", "Lafayette Parish", "Lake County", "Lake County", 
"Lake County", "Lake County", "Lancaster County", "Lancaster County", 
"Lane County", "Larimer County", "LaSalle County", "Lebanon County", 
"Lee County", "Lee County", "Lehigh County", "Leon County", "Lexington County", 
"Licking County", "Linn County", "Linn County", "Litchfield County", 
"Livingston County", "Livingston Parish", "Lorain County", "Los Angeles County", 
"Loudoun County", "Lowndes County", "Lubbock County", "Lucas County", 
"Luzerne County", "Lycoming County", "Macomb County", "Macon County", 
"Madera County", "Madison County", "Madison County", "Madison County", 
"Mahoning County", "Manatee County", "Marathon County", "Maricopa County", 
"Marin County", "Marion County", "Marion County", "Marion County", 
"Martin County", "Maui County", "McHenry County", "McLean County", 
"McLennan County", "Mecklenburg County", "Medina County", "Merced County", 
"Mercer County", "Mercer County", "Merrimack County", "Mesa County", 
"Miami County", "Miami-Dade County", "Middlesex County", "Middlesex County", 
"Middlesex County", "Midland County", "Milwaukee County", "Minnehaha County", 
"Missoula County", "Mobile County", "Mohave County", "Monmouth County", 
"Monroe County", "Monroe County", "Monroe County", "Monroe County", 
"Monterey County", "Montgomery County", "Montgomery County", 
"Montgomery County", "Montgomery County", "Montgomery County", 
"Montgomery County", "Morgan County", "Morris County", "Multnomah County", 
"Muscogee County", "Muskegon County", "Napa County", "Nassau County", 
"Navajo County", "New Castle County", "New Hanover County", "New Haven County", 
"New London County", "New York County", "Newport News city", 
"Niagara County", "Norfolk city", "Norfolk County", "Northampton County", 
"Nueces County", "Oakland County", "Ocean County", "Okaloosa County", 
"Oklahoma County", "Olmsted County", "Oneida County", "Onondaga County", 
"Onslow County", "Ontario County", "Orange County", "Orange County", 
"Orange County", "Orange County", "Orleans Parish", "Osceola County", 
"Oswego County", "Ottawa County", "Ouachita Parish", "Outagamie County", 
"Palm Beach County", "Parker County", "Pasco County", "Passaic County", 
"Paulding County", "Pennington County", "Penobscot County", "Peoria County", 
"Philadelphia County", "Pickens County", "Pierce County", "Pima County", 
"Pinal County", "Pinellas County", "Pitt County", "Placer County", 
"Plymouth County", "Polk County", "Polk County", "Portage County", 
"Porter County", "Portsmouth city", "Potter County", "Prince George's County", 
"Prince William County", "Providence County", "Pueblo County", 
"Pulaski County", "Queens County", "Racine County", "Ramsey County", 
"Randall County", "Randolph County", "Rankin County", "Rapides Parish", 
"Rensselaer County", "Richland County", "Richland County", "Richmond city", 
"Richmond County", "Richmond County", "Riverside County", "Robeson County", 
"Rock County", "Rock Island County", "Rockingham County", "Rockland County", 
"Rowan County", "Rutherford County", "Sacramento County", "Saginaw County", 
"Saline County", "Salt Lake County", "San Bernardino County", 
"San Diego County", "San Francisco County", "San Joaquin County", 
"San Juan County", "San Luis Obispo County", "San Mateo County", 
"Sandoval County", "Sangamon County", "Santa Barbara County", 
"Santa Clara County", "Santa Cruz County", "Santa Fe County", 
"Santa Rosa County", "Sarasota County", "Saratoga County", "Sarpy County", 
"Schenectady County", "Schuylkill County", "Scott County", "Scott County", 
"Sebastian County", "Sedgwick County", "Seminole County", "Shasta County", 
"Shawnee County", "Sheboygan County", "Shelby County", "Shelby County", 
"Skagit County", "Smith County", "Snohomish County", "Solano County", 
"Somerset County", "Sonoma County", "Spartanburg County", "Spokane County", 
"Spotsylvania County", "St. Charles County", "St. Clair County", 
"St. Clair County", "St. Johns County", "St. Joseph County", 
"St. Lawrence County", "St. Louis city", "St. Louis County", 
"St. Louis County", "St. Lucie County", "St. Mary's County", 
"St. Tammany Parish", "Stafford County", "Stanislaus County", 
"Stark County", "Stearns County", "Strafford County", "Suffolk County", 
"Suffolk County", "Sullivan County", "Summit County", "Sumner County", 
"Sumter County", "Sussex County", "Sussex County", "Tangipahoa Parish", 
"Tarrant County", "Taylor County", "Tazewell County", "Terrebonne Parish", 
"Thurston County", "Tippecanoe County", "Tolland County", "Tom Green County", 
"Tompkins County", "Travis County", "Trumbull County", "Tulare County", 
"Tulsa County", "Tuscaloosa County", "Ulster County", "Unidentified Counties", 
"Unidentified Counties", "Unidentified Counties", "Unidentified Counties", 
"Unidentified Counties", "Unidentified Counties", "Unidentified Counties", 
"Unidentified Counties", "Unidentified Counties", "Unidentified Counties", 
"Unidentified Counties", "Unidentified Counties", "Unidentified Counties", 
"Unidentified Counties", "Unidentified Counties", "Unidentified Counties", 
"Unidentified Counties", "Unidentified Counties", "Unidentified Counties", 
"Unidentified Counties", "Unidentified Counties", "Unidentified Counties", 
"Unidentified Counties", "Unidentified Counties", "Unidentified Counties", 
"Unidentified Counties", "Unidentified Counties", "Unidentified Counties", 
"Unidentified Counties", "Unidentified Counties", "Unidentified Counties", 
"Unidentified Counties", "Unidentified Counties", "Unidentified Counties", 
"Unidentified Counties", "Unidentified Counties", "Unidentified Counties", 
"Unidentified Counties", "Unidentified Counties", "Unidentified Counties", 
"Unidentified Counties", "Unidentified Counties", "Unidentified Counties", 
"Unidentified Counties", "Unidentified Counties", "Unidentified Counties", 
"Unidentified Counties", "Unidentified Counties", "Union County", 
"Union County", "Utah County", "Vanderburgh County", "Ventura County", 
"Vigo County", "Virginia Beach city", "Volusia County", "Wake County", 
"Walworth County", "Warren County", "Warren County", "Warren County", 
"Washington County", "Washington County", "Washington County", 
"Washington County", "Washington County", "Washington County", 
"Washington County", "Washington County", "Washington County", 
"Washoe County", "Washtenaw County", "Waukesha County", "Wayne County", 
"Wayne County", "Wayne County", "Webb County", "Weber County", 
"Weld County", "Westchester County", "Westmoreland County", "Whatcom County", 
"Whitfield County", "Wichita County", "Will County", "Williamson County", 
"Williamson County", "Wilson County", "Windham County", "Winnebago County", 
"Winnebago County", "Wood County", "Woodbury County", "Worcester County", 
"Wright County", "Wyandotte County", "Yakima County", "Yavapai County", 
"Yellowstone County", "Yolo County", "York County", "York County", 
"York County", "Yuma County"), State = c(" ID", " CO", " PA", 
" SC", " FL", " NC", " CA", " NY", " VA", " MI", " PA", " IN", 
" OH", " AK", " SC", " ME", " MD", " MN", " CO", " VA", " LA", 
" OH", " NJ", " AL", " MD", " MD", " MA", " GA", " FL", " MI", 
" SC", " PA", " TX", " AR", " WA", " NJ", " SC", " WV", " PA", 
" MA", " NM", " MI", " TX", " GA", " IA", " PA", " TN", " ID", 
" KY", " MO", " LA", " CO", " TX", " TX", " FL", " MA", " NY", 
" NY", " FL", " WI", " NC", " PA", " NC", " NJ", " OH", " PA", 
" CA", " NC", " UT", " LA", " LA", " AL", " MI", " PA", " NJ", 
" TX", " OK", " ID", " NJ", " GA", " MD", " ND", " NC", " MD", 
" PA", " IL", " MD", " SC", " FL", " GA", " NY", " GA", " VA", 
" PA", " VA", " VT", " FL", " OR", " IN", " NV", " OH", " WA", 
" GA", " FL", " MO", " GA", " OH", " OK", " GA", " AZ", " AZ", 
" FL", " TX", " GA", " OH", " TX", " OK", " CA", " IL", " GA", 
" WA", " NC", " ME", " NC", " NJ", " PA", " OH", " MN", " TX", 
" WI", " PA", " NC", " TN", " UT", " GA", " IL", " IN", " OH", 
" PA", " TX", " CO", " OR", " MS", " DC", " NM", " SC", " CO", 
" GA", " KS", " NE", " OR", " IL", " NC", " NY", " FL", " LA", 
" MI", " TX", " CA", " CO", " TX", " IN", " TX", " NY", " PA", 
" FL", " MA", " NJ", " AL", " VA", " CT", " OH", " AR", " GA", 
" KY", " PA", " SC", " WI", " GA", " NC", " TX", " MO", " OH", 
" PA", " MD", " CA", " GA", " TX", " NC", " MI", " NJ", " TX", 
" MO", " OH", " SC", " TX", " TX", " NC", " GA", " GA", " IN", 
" OH", " TN", " MA", " MA", " VA", " KY", " MD", " NC", " TX", 
" MS", " CT", " HI", " TX", " NC", " IN", " MN", " VA", " GA", 
" FL", " TX", " FL", " NH", " MS", " HI", " SC", " AL", " GA", 
" MD", " NJ", " CA", " NJ", " CA", " FL", " MI", " NC", " MI", 
" MO", " MS", " OR", " MO", " AL", " CO", " KY", " MO", " NY", 
" TX", " LA", " IA", " IN", " KS", " TX", " NC", " MI", " WV", 
" IL", " IL", " TX", " IL", " ME", " WI", " DE", " MI", " RI", 
" KY", " CA", " WA", " CA", " NY", " WA", " TN", " ID", " WI", 
" IN", " PA", " LA", " FL", " IL", " IN", " OH", " NE", " PA", 
" OR", " CO", " IL", " PA", " AL", " FL", " PA", " FL", " SC", 
" OH", " IA", " OR", " CT", " MI", " LA", " OH", " CA", " VA", 
" GA", " TX", " OH", " PA", " PA", " MI", " IL", " CA", " AL", 
" IL", " IN", " OH", " FL", " WI", " AZ", " CA", " FL", " IN", 
" OR", " FL", " HI", " IL", " IL", " TX", " NC", " OH", " CA", 
" NJ", " PA", " NH", " CO", " OH", " FL", " CT", " MA", " NJ", 
" TX", " WI", " SD", " MT", " AL", " AZ", " NJ", " IN", " MI", 
" NY", " PA", " CA", " AL", " MD", " OH", " PA", " TN", " TX", 
" AL", " NJ", " OR", " GA", " MI", " CA", " NY", " AZ", " DE", 
" NC", " CT", " CT", " NY", " VA", " NY", " VA", " MA", " PA", 
" TX", " MI", " NJ", " FL", " OK", " MN", " NY", " NY", " NC", 
" NY", " CA", " FL", " NC", " NY", " LA", " FL", " NY", " MI", 
" LA", " WI", " FL", " TX", " FL", " NJ", " GA", " SD", " ME", 
" IL", " PA", " SC", " WA", " AZ", " AZ", " FL", " NC", " CA", 
" MA", " FL", " IA", " OH", " IN", " VA", " TX", " MD", " VA", 
" RI", " CO", " AR", " NY", " WI", " MN", " TX", " NC", " MS", 
" LA", " NY", " OH", " SC", " VA", " GA", " NY", " CA", " NC", 
" WI", " IL", " NH", " NY", " NC", " TN", " CA", " MI", " AR", 
" UT", " CA", " CA", " CA", " CA", " NM", " CA", " CA", " NM", 
" IL", " CA", " CA", " CA", " NM", " FL", " FL", " NY", " NE", 
" NY", " PA", " IA", " MN", " AR", " KS", " FL", " CA", " KS", 
" WI", " AL", " TN", " WA", " TX", " WA", " CA", " NJ", " CA", 
" SC", " WA", " VA", " MO", " IL", " MI", " FL", " IN", " NY", 
" MO", " MN", " MO", " FL", " MD", " LA", " VA", " CA", " OH", 
" MN", " NH", " MA", " NY", " TN", " OH", " TN", " SC", " DE", 
" NJ", " LA", " TX", " TX", " IL", " LA", " WA", " IN", " CT", 
" TX", " NY", " TX", " OH", " CA", " OK", " AL", " NY", " AK", 
" AL", " AR", " AZ", " CA", " CO", " FL", " GA", " HI", " IA", 
" ID", " IL", " IN", " KS", " KY", " LA", " MA", " MD", " ME", 
" MI", " MN", " MO", " MS", " MT", " NC", " ND", " NE", " NH", 
" NJ", " NM", " NV", " NY", " OH", " OK", " OR", " PA", " RI", 
" SC", " SD", " TN", " TX", " UT", " VA", " VT", " WA", " WI", 
" WV", " WY", " NC", " NJ", " UT", " IN", " CA", " IN", " VA", 
" FL", " NC", " WI", " KY", " NJ", " OH", " AR", " MD", " MN", 
" OR", " PA", " RI", " TN", " UT", " WI", " NV", " MI", " WI", 
" MI", " NC", " OH", " TX", " UT", " CO", " NY", " PA", " WA", 
" GA", " TX", " IL", " TN", " TX", " TN", " CT", " IL", " WI", 
" OH", " IA", " MA", " MN", " KS", " WA", " AZ", " MT", " CA", 
" ME", " PA", " SC", " AZ"), x = c(358, 549, NA, 149, 219, 178, 
1367, 257, 194, 76, 1032, 432, 114, 278, 177, 69, 574, 265, 701, 
208, NA, 77, 267, 176, 1044, 826, 107, NA, 179, 78, 193, 119, 
538, 246, 162, 765, 202, NA, 409, 84, 778, 177, 2441, 321, 123, 
101, 91, NA, NA, 173, NA, 228, 390, 192, 372, 472, 2190, 173, 
1930, 209, NA, 469, 194, 379, 340, 112, 146, 225, NA, 573, 258, 
103, 87, 119, 531, 622, NA, 187, 56, NA, 78, 141, 155, NA, 76, 
198, 164, 419, 74, 378, 99, 240, 222, 371, 298, 95, 77, 243, 
NA, 2217, 101, 340, 116, 170, 206, 437, 202, 228, 790, 140, 129, 
248, 844, NA, 73, NA, 155, 851, 6598, NA, NA, NA, 164, 575, 219, 
152, 1565, 319, 3336, 388, 335, 179, 825, 374, 1104, NA, 97, 
131, 537, 621, 915, 83, 141, 934, 240, NA, 353, NA, NA, 680, 
76, 789, 406, 187, 1171, 732, 72, 249, 115, 857, 1265, 235, 132, 
788, 305, 412, 569, 1087, 93, 1060, 776, 87, NA, NA, 319, 137, 
220, NA, NA, 477, 701, NA, 1676, 138, 237, 1266, 1467, 338, 248, 
523, 253, 109, 264, 137, 501, 167, NA, 562, 863, 221, 256, 1043, 
436, 451, 74, 177, NA, 202, NA, 6004, 295, 835, 180, NA, NA, 
111, 1167, 352, 221, 110, 1284, 1484, 317, 553, 1181, 311, NA, 
185, 259, 842, 76, 70, 182, 89, 257, 148, 156, 795, 159, 150, 
109, 998, 486, 972, 179, 130, 368, 551, 114, 100, 463, 169, 167, 
245, 182, 518, 99, NA, NA, 70, 155, 173, 654, 102, 199, 1010, 
1602, 158, 3530, 189, 449, 105, 65, 123, 177, 289, 230, 644, 
618, 147, 302, 517, 215, 257, 73, 97, 117, 488, 333, 267, 274, 
157, 178, 79, 118, 108, NA, 231, 9714, 345, NA, 399, 562, 272, 
73, 766, 118, 164, 446, 255, 112, 242, 262, 68, 3848, 141, 267, 
1403, 279, 77, 144, 263, 155, 255, 1340, 87, 285, 403, 72, 93, 
110, NA, 2862, 72, 1389, 853, 167, 1329, 200, NA, 694, 160, 472, 
79, 99, 722, 145, 370, 348, 1026, 634, 612, 257, 474, 134, 355, 
629, 348, 164, 82, 1137, NA, 631, 176, 833, 190, 1737, 266, 166, 
379, 479, 281, 377, 1045, 530, 185, 1095, 115, 186, 429, 304, 
76, 2459, 1373, 108, 345, 571, 301, 95, 183, 253, 157, 1238, 
NA, 396, 590, NA, NA, 78, 198, 2523, 65, 633, 853, 328, 771, 
197, 206, 369, 601, 504, 119, 74, 155, 175, 1243, 497, 602, 174, 
537, 2557, 174, 516, 108, 131, 225, 156, 111, 109, 566, 336, 
336, 466, 1989, 235, 165, 143, 170, 309, 150, 307, 1419, 202, 
NA, 1323, 2224, 2895, 622, 746, 109, 121, 655, NA, 237, 325, 
1648, 178, 135, 117, 213, 144, 147, 153, 100, 142, NA, 137, 688, 
343, 104, 177, 59, 203, 1526, 64, 238, 536, 320, 279, 307, 390, 
387, NA, 326, 320, 133, 106, 294, 70, 597, 118, 1005, 271, NA, 
204, NA, 464, 343, 93, 81, 860, 1301, 151, 552, 129, 176, 201, 
103, 202, 2341, 146, 92, 173, 149, 135, 68, 113, NA, 1250, 167, 
508, 809, 283, 115, 369, 2516, 2223, 401, 599, 849, 1237, 5841, 
57, 1503, 911, 1908, 2311, 1294, 3545, 2704, 51, 625, 268, 1538, 
1605, 2599, 3450, 744, 3550, 464, 696, 201, 45, 1143, 297, 1472, 
2483, 2155, 643, 1334, 61, 1797, 604, 2718, 5530, 868, 3426, 
276, 944, 1483, 1696, 673, 202, 570, 752, 184, 686, 71, 485, 
389, 1018, NA, NA, 53, 178, 232, 155, 157, 390, 163, 56, 106, 
NA, 59, 448, 318, 284, 2572, 121, 100, 398, 328, 267, 965, 251, 
103, NA, 150, 643, 125, 458, NA, 68, 321, 142, 75, 106, 653, 
NA, 239, 292, 110, 141, 125, 113, 425, 256, 197), year = c(2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 
2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010, 2010
)), row.names = c(NA, -628L), class = c("tbl_df", "tbl", "data.frame"
))

ANSWER

Answered 2022-Apr-18 at 03:52

Here's one way you could turn state abbreviations into state names using R's built in state vectors:

a <- c('NJ', 'MA', 'FL')
state.name[sapply(a, \(x) which(x == state.abb))]

[1] "New Jersey"    "Massachusetts" "Florida" 

Applying this to birthdata2, we might create a column called state_name. But first we need to trim whitespace from the State column:

birthdata2$State <- trimws(birthdata2$State)
birthdata2$state_name <- state.name[sapply(birthdata2$State, \(x) which(x == state.abb)[1])]

   County          State     x  year state_name    
   <chr>           <chr> <dbl> <dbl> <chr>         
 1 Ada County      ID      358  2010 Idaho         
 2 Adams County    CO      549  2010 Colorado      
 3 Adams County    PA       NA  2010 Pennsylvania  
 4 Aiken County    SC      149  2010 South Carolina
 5 Alachua County  FL      219  2010 Florida       
 6 Alamance County NC      178  2010 North Carolina
 7 Alameda County  CA     1367  2010 California    
 8 Albany County   NY      257  2010 New York      
 9 Alexandria city VA      194  2010 Virginia      
10 Allegan County  MI       76  2010 Michigan      
# … with 618 more rows

Source https://stackoverflow.com/questions/71907258

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

Vulnerabilities

No vulnerabilities reported

Install hawk

You can download it from GitHub, Maven.
You can use hawk like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the hawk component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

DOWNLOAD this Library from

Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from
over 430 million Knowledge Items
Find more libraries
Reuse Solution Kits and Libraries Curated by Popular Use Cases

Save this library and start creating your kit

Explore Related Topics

Share this Page

share link
Reuse Pre-built Kits with hawk
Compare Encryption Libraries with Highest Support
Compare Encryption Libraries with Permissive License
Compare Encryption Libraries with Highest Reuse
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from
over 430 million Knowledge Items
Find more libraries
Reuse Solution Kits and Libraries Curated by Popular Use Cases

Save this library and start creating your kit

  • © 2022 Open Weaver Inc.