All language subtitles for 02 - Identify relationships using XY scatter charts

af Afrikaans
sq Albanian
am Amharic
ar Arabic Download
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bn Bengali
bs Bosnian
bg Bulgarian
ca Catalan
ceb Cebuano
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
tl Filipino
fi Finnish
fr French
fy Frisian
gl Galician
ka Georgian
de German
el Greek
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
km Khmer
ko Korean
ku Kurdish (Kurmanji)
ky Kyrgyz
lo Lao
la Latin
lv Latvian
lt Lithuanian
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mn Mongolian
my Myanmar (Burmese)
ne Nepali
no Norwegian
ps Pashto
fa Persian
pl Polish
pt Portuguese
pa Punjabi
ro Romanian
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
st Sesotho
sn Shona
sd Sindhi
si Sinhala
sk Slovak
sl Slovenian
so Somali
es Spanish
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
te Telugu
th Thai
tr Turkish
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
or Odia (Oriya)
rw Kinyarwanda
tk Turkmen
tt Tatar
ug Uyghur
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,004 --> 00:00:01,004 - [Instructor] One common goal 2 00:00:01,004 --> 00:00:02,007 of performing business data 3 00:00:02,007 --> 00:00:06,008 analysis is to discover relationships between values. 4 00:00:06,008 --> 00:00:09,008 For example, you might own a store and want to determine 5 00:00:09,008 --> 00:00:11,006 whether individuals who come to the store 6 00:00:11,006 --> 00:00:14,002 from farther away are more likely to spend money 7 00:00:14,002 --> 00:00:15,006 once we get there. 8 00:00:15,006 --> 00:00:17,001 If you've collected that data, 9 00:00:17,001 --> 00:00:19,009 you can summarize it visually using what is known 10 00:00:19,009 --> 00:00:22,001 as an XY scatter chart. 11 00:00:22,001 --> 00:00:22,009 In this movie, 12 00:00:22,009 --> 00:00:25,000 I will show you how to create one. 13 00:00:25,000 --> 00:00:26,007 In the exercise files collection, 14 00:00:26,007 --> 00:00:31,000 you will find an Excel workbook called, 20_02_XYScatter. 15 00:00:31,000 --> 00:00:32,004 And that's an Excel workbook 16 00:00:32,004 --> 00:00:36,001 that contains the data that I will use in this movie. 17 00:00:36,001 --> 00:00:37,000 As you can see, 18 00:00:37,000 --> 00:00:38,003 I have two columns of data. 19 00:00:38,003 --> 00:00:39,004 In column A, 20 00:00:39,004 --> 00:00:41,008 I have the distance a customer traveled. 21 00:00:41,008 --> 00:00:43,001 And in column B, 22 00:00:43,001 --> 00:00:46,001 I have the amount that customer spent. 23 00:00:46,001 --> 00:00:49,007 So you can see that in row 2, 24 00:00:49,007 --> 00:00:52,007 a customer that traveled one mile spent $35. 25 00:00:52,007 --> 00:00:57,000 And there was another within one mile who spent $13. 26 00:00:57,000 --> 00:00:58,007 And if we moved down the data set, 27 00:00:58,007 --> 00:01:00,002 which is sorted by distance, 28 00:01:00,002 --> 00:01:02,002 then we can see that it does appear 29 00:01:02,002 --> 00:01:05,003 that the farther away someone started from the store, 30 00:01:05,003 --> 00:01:07,005 that is the more they travel to get there, 31 00:01:07,005 --> 00:01:09,002 the more they're likely to spend. 32 00:01:09,002 --> 00:01:10,008 But let's see what it looks like 33 00:01:10,008 --> 00:01:12,005 in an XY scatter chart. 34 00:01:12,005 --> 00:01:13,008 To create your chart, 35 00:01:13,008 --> 00:01:17,001 click any cell in your data set, 36 00:01:17,001 --> 00:01:20,003 then go to the Insert tab. 37 00:01:20,003 --> 00:01:23,007 And in the Charts group, 38 00:01:23,007 --> 00:01:27,009 click the Insert Scatter (X,Y) or Bubble Chart button. 39 00:01:27,009 --> 00:01:30,004 And then at the top in the Scatter group, 40 00:01:30,004 --> 00:01:34,009 just click the first chart subtype. 41 00:01:34,009 --> 00:01:35,007 When you do, 42 00:01:35,007 --> 00:01:37,003 Excel creates an XY scatter chart. 43 00:01:37,003 --> 00:01:40,009 And you can see that there is a fairly strong relationship 44 00:01:40,009 --> 00:01:44,000 between distance traveled and amount spent. 45 00:01:44,000 --> 00:01:49,001 You can see distance on the horizontal or X axis 46 00:01:49,001 --> 00:01:53,002 and amount spent on the Y or vertical axis. 47 00:01:53,002 --> 00:01:55,002 There is a definite upward trend, 48 00:01:55,002 --> 00:01:56,007 although you can also see 49 00:01:56,007 --> 00:02:02,003 that one individual who traveled 45 miles only spent $35. 50 00:02:02,003 --> 00:02:03,006 But in general, 51 00:02:03,006 --> 00:02:07,000 the farther away someone started from your store, 52 00:02:07,000 --> 00:02:10,000 the more they spend when they get there. 53 00:02:10,000 --> 00:02:11,004 So it's important to remember 54 00:02:11,004 --> 00:02:14,007 that an XY scatter chart only works 55 00:02:14,007 --> 00:02:17,004 if you have two sets of numerical data 56 00:02:17,004 --> 00:02:19,008 that are matched as pairs. 57 00:02:19,008 --> 00:02:20,008 If you have, say, 58 00:02:20,008 --> 00:02:22,000 months of the year, 59 00:02:22,000 --> 00:02:25,004 then an XY scatter chart is probably not your best bet, 60 00:02:25,004 --> 00:02:27,003 because months are categorical data 61 00:02:27,003 --> 00:02:29,000 as opposed to numerical. 4484

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.