Title | : | Analysing Data with ChatGPT (Data Analysis and ML ) |
Lasting | : | 16.04 |
Date of publication | : | |
Views | : | 347 rb |
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Man you wrote zou for every “you” Comment from : Arda Torun |
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I come to find out there are some errors in the data produce by ChatGPT especially when it comes to non-unique numbers The irony is ChatGPT will add missing numbers at will making the mistake less visible while Google Bard will show the mistake which is good so we can find out why is it wrongbrbrSo not sure if this chatgpt can be trusted to analyze important data - the mistakes are real and misleading Comment from : noob_mechanic |
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Great work Really helpful to me What's the format of the original data before it's put on chatgpt? Comment from : Charles Otieno |
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Thankyou for the videobrI am trying to train a large data Eg a book of 1000 pages using above method its limit is around upto 5 pages brHow can i achieve thatbrCan you please help Comment from : Abdul Sami |
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There is no need to worry about chat GPT or Google 's BARD for the field of data sciencebrbrIt's just a kind of tool having so many limitations Comment from : Sidhanta Prasad Tripathy |
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great teaching! would you like to provide the link of the data used in this video? Comment from : Maxmin Max |
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Will you not be fired for leaking your employers data if you use chatgpt? That is literally breaking their privacy policy I am data analyst and i am curious? Comment from : Mayur1995 |
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Can you type "You" without typo first? Comment from : Riza Alirahman |
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I really don't understand why ChatGPTbrcan dobr data analysis !br It is a wordbr Solicaire brLarge Language model 😢brbrA word solicaire LLM is unable to analyse databr😮brSeems like being able to do data analysis ,I think,not acyually has capability tobrdo it 😅 Comment from : Chen William |
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I will have to take a course on using this app Comment from : Am_glorysunshine |
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now it not reading the dataset from links🤧 Comment from : ꧁༒ MØŚTÃQÙŁ ÃRÍF ༒꧂ |
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Please the link of Chat GPT TO DOWNLOAD THANKS Comment from : Afaf El Mahdi |
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Plunging Wolfram Alpha andbrChatGPT will own capabiliesbrof mathematical analysis ❤ Comment from : Chen William |
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When it stops the answer in between, use continue prompt Comment from : Magizhchi |
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yeaahhh, try that with a messy real life dataset instead of a perfectly curated one Comment from : Sergio |
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what kind of dataset is? Comment from : ala sharifi |
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Bro data analysis is in danger Comment from : Navneet Taneja |
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How it analyses data ,brit only can learn,be trained and generate 😅 Comment from : Chen William |
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This is crap, basically for open sets it might work But when you work with for a company the first rule is never share any information out of the organisation Comment from : Ajay Pranav |
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Mad typing skills my man ;) Comment from : C K |
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How to get the data in raw form? I have excel data with me Comment from : Arusha Maken |
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I always start off using chat gpt, which quickly turns into me doing it myself to check chat gpt accuracy which makes it kinda useless for things you need to be accurate I still love prompting it though! Comment from : cashbuyer4221 |
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It would be great if chat gpt didn’t fabricate data just often enough not to be reliable… Comment from : cashbuyer4221 |
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initially the file you copy pasted in the chatgpt was a comma seperated How do we analyze csv or excel file ? Comment from : Akshay Patil |
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We only wantbrChatGPT givesbrthe user a Answer whichbrIs meaningfulbr❤brWe don't wantbra NonsensebrAnswer from brChatGPT 😃 Comment from : Chen William |
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I am a data analyst/data scientist for survey analytics I have found that althought AI can perform many of the function I require for producing the models and tables that I program, it does not do it much faster than my current methods For simple surveys it is possible to feed the data into these programs and retrieve simple output, however, when you get into more complex processes such as data layering of large data sets and merging new data etc, it often produces results that are difficult to troubleshoot Meaning, you must be an experienced programmer to use AI to produce the same results that I am already creating using other software I find that it appears to save a bit of time initially, but that checking your work becomes more risky MY current programs are easier to see the data you are manipulating which would be much more difficult to keep track of in this format I do not think that even if AI can handle large data sets, that it is going to produce the results much faster There are far too many subjective based decisions that need to be made on data sets in order for this porogram to replace these traditional methods Most of my job is actually data management and when you get to the point where the data is ready to be analyzed it is already a very quick process to gather these results It is possible that I may deploy AI in addition to my regular routines in some circumsatnces but I do not yet see the practical applications of switching over to any large extent I beleive this will be true for most of the jobs that AI threatens to take over You still require someone who is experienced to manipulate and interpret the data I am excited at the potential for AI to aid in translating these findings into a report in order to save time with the actual analysis I belevie it will allow for more thorough projects rather than rendering these jobs obsolete So far, I have found Chat GBT very useful in guiding my ideas around how I create models since it can reason whether or not my logic seems reasonable It has also helped me to learn new techniques and expand my offerings but again, I do not see it replacing or lessening the value of my work If it is able to get to the point at which is replaces my job entirely, I beleive that the entire industry itself will be replaced Comment from : Adam Rudmik |
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why do you type "you" always type zo Haha Comment from : Amelia Hey |
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the output may not be accurate Comment from : Simon Njogu |
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has there been a pandas plugin for chatgpt? Comment from : AI PROGRESS |
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he i don't kwon if you reply my message but i buy your course about streamlit on udemy It' s wonderfull Thank for this tips Comment from : Louise Sandrine E |
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Never use data that you want to keep private, because it can legally be used as part of the language model according the 'use' agreement Comment from : choognewton |
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This is great! I just wish that it worked for larger datasets 😔 Comment from : Liora Symone |
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Impressive Comment from : GabrielCage92 |
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What version did you use? When I try and paste a table in the values do not line up correctly Comment from : Chris PW |
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Chatgpt can write code but mostly do wrong calculation for calculation we should used R programming along with chatgpt Comment from : Umar Hussain |
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this only works for small data set right? i have 16 millions rows of dataset please advise Comment from : theoopsiedaisiegaisi |
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ChatGPT is impressive so far! However, its answers could perfect-to-wrong & in-between!brbrJust wondering? ChatGPT answer should be checked to avoid a disaster as it is not safe to adopt its answer blindly! Comment from : M |
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it has 600 words limitation, how to make it able handle more? any one know? Comment from : Ricky Supriyadi |
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Dude this is insane There has to be a way to unlock the interpretation Should have at least asked it to fit the model and find optimal hyperparameters and to make predictions on another data set Comment from : Roland Heinze |
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Because If you can notice, at the start of creating the table, there are some | characters denoting column separation, and "-" character denoting separation This is when you, for example write code in Jupyter format, and according to the characters and the format it will display as a "markdown", which can interpret different syntax to show tables, equations, code snippets, lines of codes, hyperlinks and some more stuff This is how you make a table in markdown syntax:brbr| Name | Age | Gender |br|------|-----|--------|br| John | 25 | Male |br| Jane | 30 | Female |brbrAnd Chat GPT can interpret this syntax, as it is available on the internet The display window of ChatGPT's output responds to markdown syntax and displays the text as either a code snippet or a table It is still impressive though! Comment from : Diego Barra |
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Thanks, an excellent, concise presentation, love the passion! I agree with other comments to be skeptical of output of data analysis by ChatGPT but you've shown how it can be a great teacher for now Comment from : Andrew Catanach |
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This is mind blowing Great presentation It also bores down to the user knowing the right questions to ask Comment from : Digital Geek |
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Why you type Z everytime you are going to write "You"? Is a stupid question but is sooo annoying Comment from : d2020 |
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Great video, thank you Comment from : Horus |
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I am pleased to share with JCharis, Professionals and Companies the most advanced technological tool in existence: the Digital Twin that I invented in 1981 under the name of Virtual Instruments youtube/eadaQiL_AK0 youtube/fXlp4QLdWQs
brExport the GPT, Revit, Plant 3D, Civil 3D, Inventor, Engi file of the Building or Refinery to Excel, prepare Budget 1 and export it to COBRA Prepare Budget 2 and export it to Microsoft Project Solve the problems of Overallocated Resources, Planning Problems, prepare the Budget 3 with which the construction of the Building or the Refinery is going to be quoted Comment from : Roldan Duarte Holguin |
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OMG!!!! Comment from : Ryan Proto |
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When it stops, type "continue" and the remainder of the codes would be displayed Comment from : Gabriel Okundaye |
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Bro I like your videos Comment from : junaid latif |
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please send the link for this website/application Comment from : yunis Ahmed |
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an intresting happened, i was practsing the on the sql server, suddenly i decided instead of making the queries or codes on ur own, how about if iask chatgpt to generate sql codes fot the same and wonders of wonder it actully worked, but comes codes were returning error, the only catch is during an interview if they ask that do u know sqlones reply would be yes if chatgpt is allowed in office pclol Comment from : Raman jeet |
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Plus dependence on it makes one lazy, doesn't it? Comment from : Learn English with Hamid |
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Is that not plagiarism? Comment from : Learn English with Hamid |
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its been trained with structured, cleaned data such as the one you fed it Comment from : Enoch Babs |
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jesse? how about white? Comment from : Arthur Ananda |
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Would this work with a big data ? Or will It crash ? Say 40k rows Comment from : EXPLORE NATIONS |
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Astonishing content Man 💯💯💯 Thanks to share your knowledge with us 🥰🥳 Keep doing this great work! Thumbs Up from Brazil, yeeeh 👍👍👍 () Comment from : master BRAIN |
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I love that you also have troubles with qwertz vs qwerty keyboard mapping I think the swiss engineers did this Y/Z clusterfuck on purpose because now they control all business and banking software in Europe and probably wider Europeans are so dumb lol Comment from : breathinglabsupdate |
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It knows what your dataset is because that is a very commonly used dataset for student projects Comment from : Natasha Estrada |
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Thank you for sharing such a helpful resource! I created a similar video to provide assistance for people interested in academic writing, which you can access here: youtube/lSTSVjJt-KQ Comment from : Research with the Prof |
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Tip: When it stops generating in between, just type, 'Continue', it will give you the rest Comment from : Rajkiran Panuganti |
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When it stops all you have to do is write "continue" Comment from : nerassurdo |
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This video is really only useful with tiny datasets because of the character limit that ChatGPT has Comment from : nerassurdo |
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Nicely broken down I am including this in my new Kindle book, "ChatGPT Frequently Asked Questions" Comment from : Eugene Morrison |
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👍👍👍 Comment from : Maadyr Ondar |
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Hi introduce myself I'm Arif Khan harry software engineer and software developmentand and investors and members of United Nations Comment from : Ariful Islam Leeton |
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Your video is very impressive, very very impressive! Comment from : George C |
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The last bit : "eto ochen' interesno" just made my day 😁 Comment from : madi kargin |
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So data analysts no more needed?? Comment from : RK |
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I think you can even train it to recognize a "z" as a "y" :) Comment from : Frank Bee |
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Type ‘continue’ on the chatgpt prompt when u think it stopped and you were expecting more output Comment from : Deepanjan Mitra |
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Use continue last block, so it doesn't repeat Comment from : Fabián Balmaceda |
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This should be illegal 🤣 Comment from : Damien Norris |
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9:45 building the model using ML very interesting Comment from : Jon Santos |
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ChatGPT is so impressively powerful!br can't wait to see GPT-4 in action! ✨ Comment from : Lotta Money |
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at the end what gonna be the role of humanity on this planet Comment from : Lancine Junior Toure |
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"Это очень интересно" - where do you know russian from? Comment from : BT2B_ Max |
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Can delzou/del you :) Comment from : Luiz Jr |
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Engineers/programmers are amazing those who created this API brbrSalute to them 🫡 Comment from : DKJB |
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Majority of chatgpt answers are wrong Comment from : Salman |
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It's not stopping because it can't continue It stops because you're using a test window instead of the API Comment from : Brendan Clements |
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FK chatGPT it is for idiots without a brain Comment from : Technical Boy |
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ChatGPT roughly allows around 250 or so maybe ±1 rows I keep trying to exhaust the character limit with that and I'm getting really giddy using it!brbrOn your video, you used around 50 data points, which gave you that really concise description when you asked the AI to analyze it for you Maybe 50-80 data points will still give you that, but whenever you reach around 100 data points or more, the replies are getting much shorter and shorter Just to give you out a really small and straight to the point answer Comment from : francis kyle flores |
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where are you jesse? i am in Ethiopia and OpenAI does not have ChatGPT access available Is rest of Africa OK? Comment from : AMG |
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I've tried it with my dataset, however, it seems chatGPT could not process large input, in this case thousands of news article headline and enagagement brbrWhen I put in the data, it says that "The message you submitted was too long" brHas anybody found a workaround for this? Comment from : David Mp |
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I was like you and chat GPT started to give non existing APIs from libraries It gave some made up methods So do not trust it blindly Comment from : asdef ufand |
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Lol Comment from : Data Science Lagos Club |
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if it stops, type in Continue and enter,, it will pick up exactly where it left off!! Comment from : Mario Espitia Arabia |
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pandas gone , dont know maybe in the recent time there would be api integration directly for python IDE's and i hope chat gpt have the feature to upload any file for analyis will make life easy Comment from : Suman Mukherjee |
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Winner of 2008 did not buy diamonds gold or coins — he bought land with water Comment from : OghamTheBold |
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This is a bad idea for a variety of reasons Do not do this with ChatGPT-- it is a language model and will gleefully change numbers with the upmost confidence in obscure places where you will never see them Comment from : Ash Guy |
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Just type “continue” and it will resume where it left off Comment from : Robert Roger |
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