GPT-4o Changed Data Analysis Forever... (Full Guide)
Summary
TLDRThe video script introduces the new data analysis features of GPT 40, highlighting its user-friendly interface and live editing capabilities. It suggests GPT 40 could rival Google Sheets and Excel, and offers a comprehensive guide on utilizing the tool for data analysis. The script also promotes an AI foundations community for enthusiasts, providing courses on AI tools, image generation, and automation. The speaker demonstrates creating datasets, cleaning data, and generating various charts to visualize trends and relationships within the data.
Takeaways
- 🚀 The release of GPT 40 introduces a new interface for data analysis in Chat GPT, allowing users to edit charts live and interact with data for a cleaner aesthetic.
- 📊 The video provides a comprehensive guide on using the new data analysis features in Chat GPT, suggesting it could potentially replace Google Sheets and Excel in the future.
- 🌐 The presenter highlights the AI Foundations community, which offers courses on artificial intelligence, including data analysis, image generation, and automation.
- 🆓 With GPT 40, data analysis features are accessible to all users, including those on a free account, although there are limitations compared to the plus plan.
- 🔍 For those without existing data sets, the video suggests using kaggle.com for datasets or generating datasets within Chat GPT for practice.
- 🧼 The importance of cleaning and formatting data before analysis is emphasized to reduce errors and improve the quality of analysis in Chat GPT.
- 📈 Viewing data through charts and visualizations is showcased, with examples of bar graphs, line graphs, and pie charts to compare different data factors.
- 📉 The video demonstrates how to create a pie chart to show parts of a whole, such as the top five countries with the most assets from companies based in those countries.
- 📊 The presenter introduces the concept of viewing trends in data with dual-axis line graphs to understand the relationship between two variables, such as revenue and social media posts.
- 🌌 The final method of data visualization discussed is viewing data spread using scatter plots to identify trends and relationships, such as the connection between physical activity and sleep quality.
- 🔑 The script concludes by encouraging viewers to document personal or professional data for analysis, while cautioning about privacy and the importance of authorization when handling sensitive information.
Q & A
What new feature does the release of GPT 40 bring to data analysis in chat GPT?
-The release of GPT 40 introduces an amazing new interface for data analysis in chat GPT, allowing users to edit charts live, interact with their data, and enjoy a cleaner aesthetic for viewing and interpreting data.
Why might chat GPT's new data analysis feature have the potential to replace Google Sheets and Excel?
-Chat GPT's new data analysis feature could replace Google Sheets and Excel in the future due to its powerful integration with the GPT 40 model and the pleasant experience it offers for data analysis, despite not being quite there yet.
What is the AI Foundations Community and how does it relate to the video's content?
-The AI Foundations Community is a recently released private community for over a hundred members who are passionate about artificial intelligence. It is mentioned in the video as a place for learning and discussing AI tools, including in-depth data analysis techniques beyond what is covered in the video.
How can someone practice data analysis with chat GPT if they don't have their own datasets?
-Individuals can practice data analysis with chat GPT by using datasets available on platforms like kaggle.com or by requesting chat GPT to create mock datasets on various topics for practice.
What is the first step recommended for ensuring a smooth data analysis process in chat GPT?
-The first recommended step is to clean and format the data, which helps mitigate errors when generating charts and ensures the data is organized for effective analysis.
How can users generate a bar graph to compare companies based on revenue using chat GPT?
-Users can generate a bar graph by providing a simple prompt to chat GPT, such as 'create me a bar graph for the top five companies based on revenue,' which will then process the request and display the chart.
What is the benefit of expanding the table in the new data analysis interface of chat GPT?
-Expanding the table allows for a more interactive view of the data, making it easier to see details and download the table in a CSV file format for later use.
How does the video script describe the changes in the data analysis feature with the GPT 40 update?
-The script describes the changes as providing a cleaner table view of data, the ability to expand tables for better interaction, and an overall more aesthetically pleasing and user-friendly experience for data analysis.
What is the significance of the dual-axis line graph in analyzing trends in the data?
-The dual-axis line graph is significant as it allows for the comparison of two factors, potentially revealing correlations or insights into why trends are occurring, such as the relationship between social media posts and revenue.
How can a scatter plot be used to understand the relationship between two variables in the data?
-A scatter plot can be used to visualize the relationship between two variables, such as physical activity level and quality of sleep, to identify trends, clusters, or potential 'sweet spots' that indicate optimal conditions.
What precautions should be taken when uploading personal or sensitive data to chat GPT for analysis?
-Users should be cautious about uploading sensitive information to the internet, ensuring they have proper authorization if necessary, and being aware of the privacy implications of sharing personal data.
Outlines
🚀 Introduction to GPT 40's Data Analysis Features
The script introduces the new data analysis capabilities in GPT 40, emphasizing the live editing of charts, interactive data handling, and enhanced aesthetics for viewing and interpreting data. The speaker presents a comprehensive guide to utilizing these features and suggests that GPT 40 could potentially replace traditional tools like Google Sheets and Excel. They also promote a private AI foundations community, highlighting its benefits, including courses on AI tools and a supportive environment for discussing artificial intelligence.
📊 Accessing and Preparing Data for Analysis
This paragraph explains how to access data for analysis in GPT 40, noting that free account users now have data analysis feature access with some limitations. The speaker suggests using kaggle.com for data sets or creating custom data sets with chat GPT. They demonstrate how to upload and clean/format data, emphasizing the importance of data preparation to reduce errors and improve analysis quality.
📈 Analyzing Data with Charts and Visualizations
The speaker discusses various ways to visualize data in GPT 40, starting with comparing data through bar graphs, line graphs, and pie charts. They provide examples of how to create these charts, such as generating a bar graph for the top five companies based on revenue. The paragraph also covers the new interface's interactivity, customization options, and the ability to download charts for further use.
🌐 Viewing Data by Identifying Trends and Correlations
This section focuses on identifying trends within data using line graphs and introducing the concept of dual-axis line graphs to show correlations between two variables, such as social media posts and revenue. The speaker illustrates the process of creating a dual-axis line graph to understand the relationship between posting activity and financial performance, although they mention a current limitation with interactive chart support.
📊 Viewing Data Spread with Scatter Plots
The final paragraph explores the use of scatter plots to view the spread of data and understand relationships between variables, such as physical activity level and sleep quality. The speaker shows how to create a scatter plot using a sample data set and discusses the potential insights that can be gained from such visualizations, including identifying trends and optimal clusters for desired outcomes.
Mindmap
Keywords
💡Data Analysis
💡GPT 40
💡Chat GPT
💡CSV File
💡Kaggle
💡Data Visualization
💡AI Foundations Community
💡Large Language Model (LLM)
💡Data Cleaning
💡Scatter Plot
Highlights
Introduction of a new data analysis interface in chat GPT with GPT 40, allowing live editing of charts and enhanced data interaction.
The potential of GPT 40 to replace traditional data analysis tools like Google Sheets and Excel in the future.
The release of a private AI foundations community with over a 100 members, offering courses on artificial intelligence and live discussions.
Access to data analysis features in GPT 40 is now available to all users, including those on free accounts.
The ability to create and practice with data sets directly within chat GPT, without needing external sources like Google Sheets or Excel.
Kaggle.com is recommended as a resource for obtaining various data sets for practice.
Importance of cleaning and formatting data before analysis to reduce errors and improve chart quality.
New table view feature in GPT 40 provides a cleaner and more interactive way to view and analyze data.
Demonstration of creating bar graphs and line graphs to compare data factors and reveal insights.
The introduction of pie charts in chat GPT for showing parts of a whole, with the ability to customize colors and download charts.
The use of dual axis line graphs to show trends and correlations between two different data factors.
The upcoming feature of interactive charts in GPT 40, currently in beta, which will enhance data visualization.
Scatter plots as a method to view data spread and understand relationships between variables.
The practical application of data analysis in personal life tracking, such as sleep and physical activity.
The video concludes with an encouragement to document personal and professional data for better insights and decision-making.
Invitation to join the AI foundations community for further learning and engagement with AI tools and techniques.
Transcripts
with the release of GPT 40 came an
amazing new interface for data analysis
in chat GPT you can now edit charts live
interact with your data and you overall
get a much cleaner aesthetic when it
comes to viewing data and interpreting
it within chat GPT in this video I'm
going to give you a full data analysis
guide in chat GPT so that you know how
to use it best with this new GPT 40
model and honestly guys this could
replace Google Sheets into Excel in the
future I don't think it's quite there
yet but that's where it's moving the
power of GPT 40 in this new model mixed
with these new data analysis
Integrations in the new interface is
just such a pleasant experience that's
why I'm going to show you how to use it
in this video how to work around some of
those new updates and just show you the
power of it now if you love this video
then I know that you're going to love
our private AI foundations community
that is just released we have over a 100
members people are loving this we just
had a live call that lasted 2 hours
today we couldn't stop talking about art
icial intelligence we get this beautiful
Community okay people are in here typing
all the time we're talking about our
favorite go-to AI tools it's just the
best community around hands down you
will love it when you get here everyone
is so friendly and on top of that what
you get is a bunch of courses on
artificial intelligence you have a full
large language model Mastery where I go
over data analysis in depth and I show
you ways to view many different charts
more than I'm going to show you in this
video and you also get an AI image
generation course an AI automation
course where we're going over different
automations and make.com overall this
community is the best place and it will
be your final stop for artificial
intelligence if that interests you I
will leave that in the link in the
description or the topend comment below
I highly recommend it everyone who has
joined has not regretted it so far I
guarantee this will be the greatest
investment you've ever made cuz you're
investing in the Future tools of your
life all right now let's get into the
data analysis update with GPT 40 now for
starters in this update everyone
actually has access to the data analysis
feature now now there are more limits
when you're on a free account but you
don't need the plus plan in order to get
all of the benefits and to try this out
and to have fun with it you can now do
it on the free plan which is amazing
with this GPT 40 update now you might be
wondering first off okay why do I need
to use the data analysis update how do I
use it I don't even know where to get
data sets in order to practice this well
if you're not a Google Sheets person or
you're not an Excel person you don't
have rows and rows of data you need
analyzed but you do want to practice
then there's a couple of things that you
can do one thing is you can go to
kaggle.com on kaggle.com they have a ton
of different data sets that you can get
if you go to the data sets tab you can
download and practice on a bunch of
different topics we have education
topics in here we have computer science
topics in here and these are just data
sets that you can download and practice
on or what you can also do is create
data sets with chat GPT you can just say
create me a data set that is 100 rows or
however many any rows you want about
social media posting and engagement this
can be really any topic but I'm just
showing you how you can actually
generate data sets that you can use in
order to practice then you can just put
so I can practice my data analysis you
can send that off and it might ask you a
few questions you might have to work it
out but what you can really do is get a
CSV file from chat GPT a mock fake data
set that you can utilize in order to
practice your data analysis in chat GPT
Now by no means am I a data expert but
I'm just some a normal person who has
figured out how to use this in order to
generate some amazing things so as you
can see in a couple of seconds it gave
me a bunch of post IDs it gave me post
dates that are arbitrary post type post
content length likees shares comments
Impressions engagement rate and this is
all just data that I can now hit this
little download button right here or I
can expand the table this is one of the
parts of the update that is just amazing
you now have the abil to expand the
table which I'm going to get into all
the updates in a second but what you can
do is you can download this table I'm
going to hit download table and just
like that what it's done is it's
downloaded as a CSV file that I can then
upload and use later or what I can do is
I can not expand that and I can just ask
to analyze this data as it posted up in
here but that's a way to get data sets
if you're struggling to find them you
can create them in seconds using GPT 40
next I want to give you some
foundational tips for data analysis in a
large language model such as chat GPT
that have helped me along the way so
that I don't get as many errors now
first upload a data set you can do that
as I just showed you or you can use
existing data that you have from Google
Sheets Excel I even exported my YouTube
data and got some very interesting
Trends and found some very interesting
things about my data with chat GPT but
anyway you can upload any data set I'm
going to hit this little link icon in
the bottom left hand corner of my prompt
bar I'm going to hit upload from
computer yes you have the ability to
connect this to Google Drive now as well
and now I just have a data sets folder
with a bunch of different data sets and
what you want to do first is you just
want to upload a data set so I'm going
to upload top 50 companies going to hit
open and before you start trying to
generate cool charts doing cool analysis
or whatever what you need to do first is
make sure your data is cleaned and
formatted somebody corrected me on this
in the comments they said um I shouldn't
use the word clean but rather use the
word format if I'm talking about data
analysis but I still like to use the
word clean it's what I found the llm
picks up on the easiest in order to do
what I want so I'm going to say clean
and format this data if needed okay
that's all I have to say before I
generate any charts just have chat gbt
clean and format your data I'm going to
send off that prompt and as you can see
now this is one of those new features we
have this beautiful table view of our
data rather than having it be uploaded
and it says this data has been cleaned
and formatted here are the key changes
removed leading SLT triling whites space
from the column names converted the
revenue new profits assets and market
value columns to numeric values for
better analysis so those two things are
going to help mitigate the errors when
we're generating charts and it's going
to help the charts be much cleaner than
they were before so step number one is
always clean and format your data to
ensure that there are no empty columns
errors numeric things that need to be
changed columns that need to be
reorganized in order to have it be
analyzed chat gbt is the thing analyzing
your data so have it formatt it in the
way that's best for its analysis now
that we have all that boring stuff out
of the way we figured out how to make
data sets we figured out how to clean
and format them let's get into the fun
stuff let's look at the ways that we can
view our data with charts and
visualizations and chat GPT now again in
my AI foundations community that I've
built with productive dude I go over
this a lot more in depth on the five
ways to view data and each one of those
with different charts you can generate
as I said a lot more in depth but in
this video we're going to be taking a
general look a broad overv view how you
can view your data and by the end of it
you're going to have so many ideas
flowing through your head you're not
going to know what to do with it so way
number one that you can view your data
is by comparing it and these charts are
simple think of two factors for example
revenue and Country or social media
posts and likes these are going to be
your bar charts your horizontal bar
charts your line graphs you're very
basic things but things that are so
powerful and the visualizations just
look beautiful so I can say create me a
bar graph for the top five companies
based on Revenue so I'm really just
comparing two factors here companies and
revenue so there's nothing too special
but what you're going to see is a
beautiful representation now that the
data has been cleaned of what this might
look like comparing the top five
companies based on revenue and this
should be able to give us some
interesting insights as you can see this
new interface is so so amazing for data
analysis we have different columns that
we can shoes and they're labeled
beautifully we can expand this chart now
so we can see a very interactive view of
this data we now have a nice download
button that I can hit download and if I
Collapse this chart and see this I can
open up this download and I now have a
beautiful picture that I can use and
it's pretty much ready to go now another
thing that you can do with these charts
is once you expand it hitting this
little arrows icons right in the middle
or right in the top right hand corner of
that chart once you expand that
what you can do is you have the ability
to hit this little settings icon and
then you have different colors within
the data set okay so you can start
changing the colors of each of these
lines for some reason it's not showing
uh each company as its own individual
thing within the legend but a lot of the
time it does and you'll have the ability
to change the individual line now for a
bar graph I do believe it's common
practice to keep all the colors of These
Bars the same but for things like pie
charts you can have the ability to
actually change each color of the P
which I will get into a little later but
this is the first way to view your data
is by comparing it and you can do things
like line graphs as well you can come to
some very cool conclusions now let me
just show you what the old chart looks
like this is what the old charts used to
look like okay ugly I am talking ugly
but this is what it looks like now just
very very Sleek very smooth it's
interactive and I absolutely love it
let's look at the next way that we can
view our data on chat gbt and that is
going to be showing parts of a ho and
the one chart that I have for this that
I think represents it best is the pie
chart now I go over this a lot more in
depth in the course in the community
below but I want to just showcase how to
create a pie chart within shat GPT so
we're going to hop in we're going to
head over to my data sets Google sheet
where I have a ton of different data
sets and we're going to keep using this
top 200 companies that I have been using
throughout this entire video what I want
to compare is countries to assets and I
want to see which are the top five
countries that have the most assets
under management based on the companies
so which companies have the most assets
and those companies are going to be
added up to their respective country
making a top five country list I hope
that makes sense pretty confusing but
chat gbt is going to dumb it down for us
and explain it to us step by step so
once again I'm going to start from the
top this time I want to upload that data
set for my computer I can just upload
the top 50 I don't have to upload all
200 I can head open and once again I'm
going to clean and format this data
since I did not download my other data
set that was cleaned previously I'm just
going to clean and format this one once
again just so you can get that ingrained
in your head that that's what you need
to do as you can see we get this
beautiful chart it's going to clean and
format this data to make the revenue
exactly how it needs to be and then we
are going to generate that pie chart in
order to show parts of a hole as you can
see it said it clean the data but when I
look at the data it has a lot of numbers
in here but how do I know that this is
representing billion I know all of them
do represent billion since this is the
top 50 companies in the world but how do
we make sure that we understand that
well that's what we can ask chat GPT
real quick you can ask it questions
about your data very natural process it
will make some mistakes there's going to
be some tweaks but you can just ask it
questions along the way which is what
makes it so powerful How will I know the
numbers represent
billions okay and I can send that off
and now it's added to the column A B
which represents billions so now that I
know that each of these is representing
billions in that value now I can go
ahead with my data analysis and what I
can do is generate a pie chart using a
very simple prompt so I'm just talking
like a human I say create a pie chart
showcasing the top five countries with
the most combined assets from their
companies in that country I'm just going
to send that off and take a look at this
this is what I was talking about with
this beautiful interactive pie chart
what you can do is you can hit this
expand chart button so that you don't
have to squint and go close to your
computer screen and you can just see it
now you have the ability to hover over
it and check out the top five countries
from this data set based on assets under
management so it looks like China is in
the lead based on this list us is second
Japan is third United Kingdom is fourth
and France is Fifth and notice how it's
giving the percentages as well this is
beautiful I could have put an other
category in here with all of the other
countries as well but this is amazing it
breaks it down in percentages and as I
was showing you earlier we now have the
ability to hit this little settings icon
next to the download button and we can
actually change the colors of these pie
charts and not only does it give us a
pallet to select from but it gives us a
custom hex code selector that we can
throw in the hex code of any color that
we want and get it changed so I could
make it
0000000000 Z have it be black I could
make it FF ffff have it be white um it's
just amazing what we can do with this
now and again you can hit this little
download button in order to download the
chart let's move on to the next way that
we can view our data and that is viewing
our data by seeing Trends throughout our
data that we may have missed now this
may seem simple by just looking at
Trends but I want to show you a chart
that I'm absolutely in love with because
it shows you why the trend is happening
this is going to be a dual AIS line
graph and I have a very simple data set
that I want to show you and just to show
you the power of the Dual AIS line graph
and how this is going to work so what we
have here is another data set we have 12
months January through December and we
have a company that maybe just tracks
revenue and social media post so we
could make a basic line graph of this
company and the revenue that it's
generating just to see how it's trending
over time I'm going to go back here hit
create a new chat in the upper leftand
corner
then I'm going to hit the link icon in
the bottom left hand corner of the
prompt bar and I'm going to upload that
sub based platform data set and first
I'm going to ask to clean and format
this data even though there's not much
to clean and format um I'm just going to
ask it to clean and format the data just
so I can maintain good practices and now
as you can see it's in here okay so this
is looking beautiful we can expand this
just like that quite amazing it says the
data set has been cleaned in format what
it looks like it did was changed the
revenue to an actual Revenue currency
property rather than just having it be a
number and it's ensured consistent
capitalization for column names verified
and corrected any potential
inconsistencies so beautiful data is
cleaned and ready to go we can generate
a basic Trend like a trend line so I can
say create a line graph
showcasing revenue for this specific
year and and we can get a general idea
of where the trend is going but maybe
this is not enough data in order to see
why it's happening we have a bunch of es
and flows we can see a general uptrend
in the data which is very nice for any
company right we can see that it's
making higher highs and lower lows so we
have a general uptrend going on here but
why the dip right why do we go from
14,000 one month to sub 9,000 another
month what we can do here in order to
view a trend and why it's trending the
way it is is by adding another Factor to
the Chart so let's make this a dual
access line graph and if you remember
right within our data right here we have
another column for social media posts
this could be for a company maybe
they're posting on social media and that
and they're just tracking how many times
they post across all their socials let's
add that to this chart and see if it has
an effect on the revenue so I could say
make this a dual AIS line graph and add
in social media post
post on the second y AIS so nothing
crazy here I'm talking like a third
grader I know my axes I have the x axis
and the y axis y to the sky x to the
left or the right and now I can just add
this in right we have the data up here
it's clean and formatted we have this
chart let's just add in another
denominator so now I'm adding in the
social media post to overlay on top of
this and that's why I called it a dual
AIS line graph because we're going to be
overlaying the two of them seeing if
they have any correlation to one another
so as you can see it says interactive
charts of this type is not yet supported
so it is still working through this it
is beta but now you can kind of see
what's happening in this data and this
is much better than it was before
actually I like how it does it dotted so
you kind of can differentiate between
the two but now as you can see the green
line is representing the social media
posts and it seems like these two are
moving in harmony which may indicate
that when you post more on social media
for this company in specific you
actually make more money but this would
be another way to view your data is that
dual AIS line graph can't wait for the
interactive charts to be supported for
this one sometimes they are supported
sometimes they're not so I think it is a
little buggy but you still get to expand
it nicely and download it much easier
than you could before now let's take a
look at the final way that you can view
your data that I'm going to be showing
in this video and that would be by
viewing a data spread within chat GPT
this is amazing I love doing this one
I'm going to be utilizing a scatter plot
for this but you can also use violin
plots box plots whatever you want I go
in-depth on box plots which are actually
kind of complex to understand within
this course uh the small section here
within the large language model Mastery
and I also in here have another section
called understanding relationships
between things where I use bubble charts
and go in-depth on the third dimension
of data analysis but with that being
said let's get into actually creating a
scatter plot and understanding what that
might be good for for analyzing data in
chat GPT super excited to get into this
one so let's do it first I'm going to
open up Google Sheets and then what I'm
going to do is I'm going to go to my
sleep data lifestyle and professions so
what we have here are some categories we
have person ID gender age occupation
sleep duration quality of sleep physical
activity level and it keeps on going on
with the stress blood pressure heart
rate but what we have here is physical
activity level and quality of sleep what
I want to do is I want to put these two
up against one another in a scatter plot
and see if we can see any Trends between
physical activity level and quality of
sleep when you exercise more do you get
better sleep these are things that you
can start tracking with your personal
life I have this ring right here I'm not
sure if you can see it but this ring
tracks my sleep it tracks my activity
level it tracks my stress my Readiness
and these are things that I can start
like importing into a Google sheet and
actually tracking for my personal life
you can also do this with a Fitbit I'm
pretty sure it's quite amazing you can
connect it to my fitness pal whatever
you want to do
but Chad GPT is going to help you see
what the trends in your life are you
sleeping good are you having enough
physical activity level on Saturdays for
instance if you have enough data uh when
do you work the best when do you get the
most most Focus time in that those are
the things that I'm kind of focusing on
when I'm doing my data analysis and chat
gbt but also things like YouTube stats
and just general information that's fun
messing around with but let's get into
it I'm going to upload this data set
sleep data and lifestyle professions by
hitting that link icon and then finding
it within my data sets folder so I'm
going to upload that hit open and like I
said always clean and format this data
if needed okay always send up that
prompt in order for chat gbt to just to
get a feel for it so it knows what it's
working with and also can help you clean
it since it seems easy to clean to
ensure proper formatting let's perform
the following tasks and it's kind of
just running you through its checklist
which I've always loved when it uses its
data analysis feature it always is
keeping you up to date with what it's
doing and as I said before you can get a
downloadable copy you can download the
clean table so that you can just upload
it to your Google Sheets again maybe
that's all you want to do is just clean
your data we hit that little download
button at the top of the table and
upload it to Google Sheets or Excel
whatever you use it's pretty easy but
the data has been cleaned and formatted
now we can start generating a scatter
plot based on our two factors right here
quality of sleep and physical activity
level so I can say create a scatter plot
showcasing quality of sleep with
physical activity levels and so after I
hit send I mean there's over 374 rows of
data within this data set in specific
yeah okay so this is beautiful right it
has quality of sleep physical activity
level it even plots it out for you it
kind of looks like a Star Wars game or
Galaga or something but this is very
interesting to see and you can kind of
start seeing is there any relationship
between it it doesn't really look like
there's any big clusters but what we can
see is a small uptrend in the data so
the more physical activity level you
have generally the higher quality of
sleep you have from what I can see right
now I'm going to download this I'm going
to open it up and as you can see well as
you might not be able to see because it
is kind of hard to view but what you can
notice from this data is to me it looks
like the people that are down here at
this section aren't getting as much
sleep but as their physical activity
level goes up it seems like there's a
general uptrend in this data that's what
chat gbt is helping you see you can also
find small clusters within the scatter
plot in order to see okay maybe there's
a sweet spot between getting this
physical activity level and this quality
of sleep right if there was a cluster
like right here then this might be a
good spot to aim for because these are
pretty Peak Achievers right they're
super active but they're also sleeping
like kings and queens so this is your
goal to get here I'm pretty sure but
yeah anyway this looks like a children's
drawing now so I'm going to hop off my
screen and back to my face just
congratulating you on finishing this
video because this is going to put you
ahead of 90% of the people using chat
GPT you start documenting your life your
work hours your physical activity level
your sleep hours you start taking in
your stats your personal stats or your
stats from work be careful uploading
information that's private though you
know you're going to have to get
authorization from a higher up or if
you're the higher up maybe you can make
that decision yourself but you are
uploading information to the Internet so
always be careful when you're doing that
especially if it's sensitive but with
that being said congratulations on
finishing this this was a good video for
you to see kind of the changes that GPT
40 had to make with the data analysis
feature and I am loving it it's just so
much more of an experience when using it
now again if you want to learn AI you
want to loving Comm Community then I
highly recommend joining the AI
foundations Community okay this is a
group that is going to be something
special and I realized that even more
after we just got off our live call now
we have calls scheduled once a week that
we just check in with the group and
we're also adding specialized calls for
AI image generation prompting with llms
and so much more this community is going
to be the foundation in your final stop
for artificial intelligence so I highly
recommend you join it's a very good
learning environment all right with that
being said that's all I have for this
video please subscribe and like and
comment below if you did enjoy this
video hit the Bell icon so you never
miss an upcoming upload and I will see
you in the next video much love
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