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Elizabeth Borneman
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Published
By
Elizabeth Borneman
Edited
Mar 13, 2019
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//See requ
//https://developer.twitter.com/en/docs/tweets/search/api-reference/get-search-tweets
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//a function that is returning a promise once something is resolved
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resolveAfter2Seconds
=
function
(
number
)
{
return
new
Promise
(
resolve
=>
{
setTimeout
(
(
)
=>
{
resolve
(
number
)
}
,
2000
)
}
)
}
//this promise is waiting 2 seconds then printing something on my console
//set Timeout executes a function after the time set
//above resolveing the value of x after 2 seconds (2000)
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f1
=
async
function
(
number
)
{
var
x
=
await
resolveAfter2Seconds
(
number
)
;
//note why we need the await here
console
.
log
(
x
)
return
x
}
//then create a new promise with a resolved( if a twitter API actually returns tweets) variable
//will wait for teh result of my function sychronously
//async telling js that that function below will be a asynchronous function - things will get executed at different times.
//if we didnt have this function here the x returned would be undefined becasue the resolve function has not caught up yet
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f1
(
8
)
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vegalite
=
require
(
"@observablehq/vega-lite@0.1"
)
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z
=
require
(
'https://bundle.run/zebras@0.0.11'
)
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// Load a file locally
viewof
text
=
html
`<input type=file * ">`
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tweetsStrings
=
Files
.
text
(
text
)
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tweetsDF
=
Object
.
values
(
JSON
.
parse
(
tweetsStrings
)
)
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count
=
{
let
countArray
=
[
]
let
groupedLocations
=
z
.
groupBy
(
x
=>
x
.
location
,
tweetsDF
)
for
(
const
key
of
Object
.
keys
(
groupedLocations
)
)
{
countArray
.
push
(
{
location
:
key
,
count
:
groupedLocations
[
key
]
.
length
}
)
}
return
countArray
}
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countSorted
=
z
.
sortByCol
(
'count'
,
'des'
,
count
)
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vegalite
(
{
data
:
{
values
:
countSorted
.
slice
(
0
,
40
)
}
,
mark
:
"bar"
,
encoding
:
{
x
:
{
field
:
"location"
,
type
:
"nominal"
,
sort
:
'*'
}
,
y
:
{
field
:
"count"
,
type
:
"quantitative"
}
,
color
:
{
"field"
:
"location"
,
"type"
:
"nominal"
}
}
}
)
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notNull
=
z
.
filter
(
r
=>
r
.
lat
!=
null
,
tweetsDF
)
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vegalite
(
{
data
:
{
values
:
notNull
}
,
mark
:
"point"
,
encoding
:
{
x
:
{
field
:
"lon"
,
type
:
"quantitative"
}
,
y
:
{
field
:
"lat"
,
type
:
"quantitative"
}
}
}
)
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// Loop through all the locations, and see if they are similar to Boston, then create a new column
newTweets
=
{
let
newLocations
=
[
]
let
locations
=
z
.
getCol
(
"location"
,
tweetsDF
)
for
(
let
id
in
locations
)
{
if
(
locations
[
id
]
.
toLowerCase
(
)
.
includes
(
'boston'
)
)
{
newLocations
.
push
(
'Boston, MA'
)
}
else
{
newLocations
.
push
(
locations
[
id
]
)
}
}
return
z
.
addCol
(
"cleanLocations"
,
newLocations
,
tweetsDF
)
}
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resolveAfter2Seconds
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f1
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z
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text
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tweetsStrings
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tweetsDF
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count
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countSorted
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notNull
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