- Видео 46
- Просмотров 118 620
shirwansany
Малайзия
Добавлен 23 апр 2020
chemist l environmentalist l minimalist l datascientist l digitalnomad
Contact me via shirwansany@iium.edu.my
Contact me via shirwansany@iium.edu.my
Journey to data analytics | Day 7 - Variables in python for #100daysofcode
#100daysofcode Day 7! We'll explore Python variables today. Programming requires variables to store and modify data. Python variables provide dynamic and sophisticated code. Variables let us write programmes that adapt to changing situations and user input. Every problem in learning to code is an opportunity to learn and progress. #100daysofcode is a commitment to your programming growth. Let's keep learning new talents every day!
Просмотров: 67
Видео
Journey to data analytics | Day 6 - Count the string with len() function
Просмотров 18Год назад
Day 6 of #100daysofcode: exploring the #len() function in #python to count characters in a #string. This foundational skill leads to complex operations like slicing, concatenation, and better text analysis. Every step forward is significant - commit to #100daysofcode for momentum and skill development.
Journey to data analytics | Day 5 - How to code input function in python
Просмотров 9Год назад
Day 5 of #100daysofcode. We'll learn Python input functions today. Python input functions allow user input. When creating interactive programmes that respond to user input, this is invaluable. Python programmes can accept input with a few lines of code. Keep coding!
Journey to data analytics | Day 4 - Debugging errors, single & double quotes, & backslash n
Просмотров 20Год назад
#100daysofcode Day 4! As we debug errors, we'll learn about single and double quotes and the backslash n character in the print function. Writing complex code will lead to errors. Don't be discouraged! Programmers must learn to debug. Today's session will equip you to find and fix code errors. We'll also cover single and double quotes and backslash n formatting. These seemingly minor details ca...
Journey to data analytics | Day 3 - String concatenation and code intelligence in Python IDE
Просмотров 19Год назад
Hello everyone! This video assists us in learning about the #string #concatenation for #100daysofcode and code intelligence in #python integrated development environment (IDE). Well, continue to code, this is a dynamic learning!
Journey to data analytics | Day 2 - Printing function
Просмотров 27Год назад
Hello everyone! Day 2 learning on #100daysofcode starts with carrying out the printing function in Coding rooms. This portal also provides a similar browser-based code editor like #replit, but I try using it and submitting the code for marking. See you in the following video!
Journey to data analytics | 100 Days of Code: The Complete Python Pro Bootcamp 2023 | Replit review
Просмотров 222Год назад
Hi everyone, finally, we meet again on Journey to data analytics. After being introduced to the 'The Data Science Course 2023: Complete Data Science Bootcamp', this time, I have embarked on learning about projects that could be carried out in 100 days of code via Udemy, focussing on coding with Python. This new course introduced me to a browser-based code editor, Replit, and I made a simple rev...
Journey to data analytics | Discriminant analysis to differentiate species (in Malay)
Просмотров 220Год назад
Journey to data analytics | Discriminant analysis to differentiate species (in Malay)
Journey to data analytics | Partial least square - Discriminant analysis via XLSTAT
Просмотров 1,3 тыс.Год назад
Hello, this video demonstrates discriminant analysis (DA) using XLSTAT. Apology, I explained it in Malay. Please comment if you would like to have the demonstration in English. Thank you for subscribing to this channel!
Journey to data analytics | How to find the directory of python files in computer
Просмотров 262 года назад
Journey to data analytics | How to find the directory of python files in computer
Journey to data analytics | How to create #headings or #titles in #markdown of #python
Просмотров 312 года назад
Journey to data analytics | How to create #headings or #titles in #markdown of #python
How to report the chemical composition of a sample via #GCMS
Просмотров 3,3 тыс.2 года назад
How to report the chemical composition of a sample via #GCMS
Determining concentration of compound using #GCMS
Просмотров 19 тыс.2 года назад
Determining concentration of compound using #GCMS
Journey to data analytics | List with range functions
Просмотров 742 года назад
Journey to data analytics | List with range functions
Journey to data analytics | Authentication of oils via FTIR and multivariate data analysis
Просмотров 7832 года назад
Journey to data analytics | Authentication of oils via FTIR and multivariate data analysis
Journey to data analytics | Discriminant analysis and multiple linear regression
Просмотров 1252 года назад
Journey to data analytics | Discriminant analysis and multiple linear regression
Journey to data analytics | Data pre processing, principal component analysis and cluster analysis
Просмотров 1772 года назад
Journey to data analytics | Data pre processing, principal component analysis and cluster analysis
Journey to data analytics | How to code for 'while loops' and incrementing
Просмотров 192 года назад
Journey to data analytics | How to code for 'while loops' and incrementing
Journey to data analytics | How to code 'For loops'
Просмотров 432 года назад
Journey to data analytics | How to code 'For loops'
Mendeley | Create folder & use search engine
Просмотров 882 года назад
Mendeley | Create folder & use search engine
Mendeley | Installing Mendeley & cite your first reference
Просмотров 682 года назад
Mendeley | Installing Mendeley & cite your first reference
Journey to data analytics | How to make list in phyton
Просмотров 592 года назад
Journey to data analytics | How to make list in phyton
Journey to data analytics | Index method for list via phyton
Просмотров 902 года назад
Journey to data analytics | Index method for list via phyton
Journey to data analytics | Jupyter lab vs Jupyter notebook
Просмотров 2712 года назад
Journey to data analytics | Jupyter lab vs Jupyter notebook
Journey to data analytics | Installing Streamlit via Anaconda navigator
Просмотров 12 тыс.2 года назад
Journey to data analytics | Installing Streamlit via Anaconda navigator
How to submit exam answer/assignment via Google Classroom
Просмотров 1153 года назад
How to submit exam answer/assignment via Google Classroom
Journey to data analytics | Principal component analysis (PCA) - Part 4
Просмотров 1,5 тыс.4 года назад
Journey to data analytics | Principal component analysis (PCA) - Part 4
How can I find the molar mass of an oil sample?
Thank you very much
My supervisor had me manually identify the peaks and calculate their respective areas one by one. Is there any difference between this method and the one you are describing here? I'm using the same version of the Agilent Data Analysis software.
I have a question that how can we get this gc ms library???? and which software are you using??? Thank you in advance.
Thank you very much, it was beneficial.
When you select some peak so many compounds were shown, how to conform the given peak is of respective compound
There are a few ways to confirm. 1. Confirm with the standard of the compounds. Run a standard of the compound, record and compare the mass spectra. 2. Based on the mass spectra of the compound, confirm the mass of ion fragments
@@shirwansany I mean when you click some peak many mass spectra is shown? I need to identify Z-7-dodecyl acetate ? how can i do that? Anyways thanks for your video.
Thank you so much Dr
Alsalamu Alikum, Thank you very much. this is very useful. I have a questions, after collecting the background, what should I do with the background spectrum?
Walaikumsalam. Here is my practice: 1. Collect the background's spectrum 2. Collect the sample's spectrum. 3. Deduct the background's spectrum from the sample's spectrum to get the actual spectrum. Usually, I set these activities to be the default setting of the FTIR spectrocopy so that I don't have to manually deduct the background's spectrum.
@@shirwansany Thank you for your prompt response. I find it difficult to know the settings from which I can set the automatic subtraction of background spectra from the samples. Also, I am worried that if I use the subtraction tool after measuring, the background would be subtracted twice. It is strange to me that non of the available information about OMNIC even the one shared by the maker talks about the subtraction of the background. Please teach us more about it when you have time.
Thanks Dr Shirwan
This video is very educational. I have learned a lot from your recorded lecture, it is well-explained. I do have a question on using Unscrambler X. Can Unscrambler X be used for PLS-DA of an FTIR Spectra data? If yes, do you any recorded lecture of using Unscrambler X for PLS-DA? And is there any chance that I can connect with you through email? Thank you!
Dear @NellyGraceTonacao, thank you for your comment. I have limited experience with Unscrambler X even though I have the software version 10. Hence, I do not have recorded video using this software. This version does not have PLS-DA but only linear discriminant analysis (LDA). I used to carry out PLS-DA with XLSTAT. However, handling big data FTIR with XLSTAT is challenging compared to Unscrambler X. You may contact me via shirwansany@iium.edu.my. Perhaps we could collaborate soon.
My 'Select Signal to Load' option is grayed out.
Hello @javajoe4, thank you for your comment. The 'select signal' will activate if you set the GC/MS to record the chromatogram in both scan and sim modes. If you do not select the sim mode before analyzing the sample, the GC/MS will record the chromatogram in scan mode by default.
Can we identify compound on the basis of retention time ?
With GC/MS, you can identify a compound with (2) Mass spectra of the compound and (2) retention time.
Can you make the video on the GC chrromo calculation
from Bangladesh
Very useful to me !
Hello. Did you make the same video in english??
thank you your video, but I have question, I have already compiled my project on jupytor notebook, but now how to change in streamlit way of code structure, would help me
Quit interesting.But can someone use relative abundance instead of using area to get a % composition?
Hi @abdullahimuhammad6591, thank you for your comment. Hello, yes possible to use relative abundance instead of area.
I have data of GCMS how can identify each compound without digital library or how can i identify that
Hi @raahis8256, thank you for your comment. I recommend you analyse both blank and sample. Then, the blank chromatogram is deducted to get clean mass spectra. From the mass spectra, you could deduce the possible compound based on the mass spectra.
Very helpful
Wow❤
Very helpful
Muchas gracias por el aporte, en verdad está genial.
Belajar lagi❤❤
Jazak Allah
GCTOFMS vs GCQDRUMS define please
Thank you so much!
🙂 I have been struggling for the past two days. I could not figure it out. Your detailed video contained the information I desperately needed. Really am grateful and appreciate it. 🙂 Walaikum Salam, and may Allah bless you and your family <-3
Wslam sir! I have to compare compounds in plants of 4 different groups, is GCMS can interpret the different concentrations of the same compound in different groups of plant
Salam, GCMS can identify the volatile compounds in the plant. Here is the strategy: 1. Analyze the plant extracts via GCMS. Determine the detected compounds, qualitatively. 2. Based on the detected compounds, purchase the compound standards. 3. Analyze the standards via GCMS and set up a calibration curve for each standard. 4. Analyze the plant extracts. Then quantify each compound using the calibration curve.
Hello.. Beli aplikasi xlstat dimana ya mas? Yang lengkap ada PLS-DA
You can purchase from the xlstat website: www.xlstat.com/en/pricing/student
How to do PCA with supplementry variables?
Can we find the amount of specific compound(mg level) in a mixture?
thank you :)
Hi , do you offer online training courses?
Hi John. We have. Kindly drop an email requesting the training at inhartlab@iium.edu.my
@@shirwansany8706OK
wa aleykoum salam, thanks it's helpful
Hi there are multiple compounds detected per peak So which one will be the compound corresponding to the peak. Are all the compounds are said to be present in the single peak (whichever is detected).
hello did you get the ans for this question???? i am also confused
I have the same question as well.
@@rahanjdas5572 nope
@@scientiainquisitor5391 thanks for letting me know
You'll never be able to be 100% sure. Here, the mass fragmentation pattern (and retention time I guess) is (are) compared to the library to find the best matches. You can see a value to the right of the proposed molecules (in the column called "qual" for "quality") which is a percentage score. The closer it is to 100, the better the match between the data acquired and the library. Also, here are displayed only the 3 best results from the library but there are more for sure. In that case, the quality score is high enough to be fairly certain of the identity of the molecule, but sometimes, when the sample is more complex (and when you have co-elution of several compounds), the library struggles to find good matches and it can be useful to consider more possible matches.
I need software plz share ur mail id
Hello, this is Enhanced Data Analysis software from Agilent, which came together when we purchased the GCMS.
Jzak ALLAH. It's very informative. Can you please share a video/guidance on matching the Kovats index??
Salam, Thank you for the question. I have not recorded the video on the index calculation, but I have published the work here: link.springer.com/article/10.1007/s41664-020-00118-z. Shall you need the paper, please request via shirwansany@iium.edu.my
@@shirwansany8706 jzak ALLAH for response. Can we match our calculated Kovat retention index for (HP-5) with the theoretical/literature retention index (HP-5) of Kratz?
@@somiaafzal6807 possible; However, you may need to follow the GC similar setting from the previously reported retention index. Also, please allow some deviation from the previously reported retention index.
@@shirwansany8706 Jzak Allah for the answer. So the point that is confusing me is that the calculated retention index (Kovats' RI) can be matched with the previously reported/theoretical/NIST chem book etc. Van Den Dool and Kratz RI retention index OR with the Normal alkane RI. So only need to match our GC setting and column type (like HP5 / DB wax type etc.) and find the nearest RI?
@@somiaafzal6807 The approach is as follows: 1. Find the original work the calculate the Van den Dool and Kratz RI 2. Follow the GC setting and procedure to get the RI. 3. Compare your calculated RI with the published Van Den Dool and Kratz RI. Else, you also can compare with NIST, Chem Book RIs. The NIST and Chem Book RIs have stated with column they used. Compare the RI of compunds that are separated using the similar column.
Very nice
Hi Sir. Boleh sy tahu apa problem if after click run, kan suppose to be keluar the graph with the percentage. But mine tak keluar pun. Any solution for this?
Can show how to open sample data firtst/
Tank you !
Terima kasih Dr Shirwan. boleh refresh balik pasal topic prediction models.. tp sy tak penah pakai XLStat. ada beberapa soalan nak tanya.. :)
Silakan bertanya.
Hello, this video demonstrates discriminant analysis (DA) using XLSTAT. Apology, I explained it in Malay. Please comment if you would like to have the demonstration in English. Thank you for subscribing to this channel!
when i get to the cd streamlit part, i get an error message "system cannot find the path"'..please help
please tell me how to identify the sample using ftir curve in Originpro.....