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Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to and log in 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. E.g., generate graphs for exploratory data... show more

Faheem Ullah

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PhD Students – Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs for data analysis. 5. AnswerThis will generate variety of graphs for you. 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE. AnswerThis link:

PhD Students – Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs for data analysis. 5. AnswerThis will generate variety of graphs for you. 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE. AnswerThis link:

Faheem Ullah

206,884 Aufrufe • vor 5 Monaten

Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs from data. 5. AnswerThis will generate variety of graphs 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE.

Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs from data. 5. AnswerThis will generate variety of graphs 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE.

Faheem Ullah

26,483 Aufrufe • vor 7 Monaten

PhD Students - How to analyze data in seconds? 1. Go to 2. Upload your data 3. Describe how you want the data to be analyzed 4. Novix will handle the entire analysis It will perform the following data analysis tasks. - Load and validate the dataset - Generate graphs for exploratory analysis - Create histograms for numeric variables - Build a correlation heatmap - Create bar charts for categorical features - Generate box plots for score distributions - Create scatter plots for relationships - Generate a final report Download the report in PDF or Word format.

PhD Students - How to analyze data in seconds? 1. Go to 2. Upload your data 3. Describe how you want the data to be analyzed 4. Novix will handle the entire analysis It will perform the following data analysis tasks. - Load and validate the dataset - Generate graphs for exploratory analysis - Create histograms for numeric variables - Build a correlation heatmap - Create bar charts for categorical features - Generate box plots for score distributions - Create scatter plots for relationships - Generate a final report Download the report in PDF or Word format.

Faheem Ullah

16,138 Aufrufe • vor 3 Monaten

PhD Students – How to analyze data in minutes? Use the following FREE tool to analyze your data. 𝐌𝐞𝐞𝐭 DataLumio – 𝐚 𝐭𝐨𝐨𝐥 𝐟𝐨𝐫 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬. It works in 3 simple steps. 1. Go to 2. Upload your data and ask your research question 3. DataLumio will analyze data and generate report. 𝐓𝐡𝐞 𝐫𝐞𝐩𝐨𝐫𝐭 𝐰𝐢𝐥𝐥 𝐜𝐨𝐧𝐭𝐚𝐢𝐧: → Insightful graphs and charts → Tables and illustrations → Concrete answer to your research question → Examples from the analyzed reports 𝐃𝐚𝐭𝐚𝐋𝐮𝐦𝐢𝐨 𝐚𝐧𝐚𝐥𝐲𝐳𝐞𝐬 𝐭𝐡𝐞 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐭𝐲𝐩𝐞𝐬 𝐨𝐟 𝐝𝐚𝐭𝐚. ↳ Text data ↳ Interview transcripts ↳ Observational data ↳ Video/audio transcripts ↳ Any qualitative data Try Datalumio here: Anything you'd like to add?

PhD Students – How to analyze data in minutes? Use the following FREE tool to analyze your data. 𝐌𝐞𝐞𝐭 DataLumio – 𝐚 𝐭𝐨𝐨𝐥 𝐟𝐨𝐫 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬. It works in 3 simple steps. 1. Go to 2. Upload your data and ask your research question 3. DataLumio will analyze data and generate report. 𝐓𝐡𝐞 𝐫𝐞𝐩𝐨𝐫𝐭 𝐰𝐢𝐥𝐥 𝐜𝐨𝐧𝐭𝐚𝐢𝐧: → Insightful graphs and charts → Tables and illustrations → Concrete answer to your research question → Examples from the analyzed reports 𝐃𝐚𝐭𝐚𝐋𝐮𝐦𝐢𝐨 𝐚𝐧𝐚𝐥𝐲𝐳𝐞𝐬 𝐭𝐡𝐞 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐭𝐲𝐩𝐞𝐬 𝐨𝐟 𝐝𝐚𝐭𝐚. ↳ Text data ↳ Interview transcripts ↳ Observational data ↳ Video/audio transcripts ↳ Any qualitative data Try Datalumio here: Anything you'd like to add?

Faheem Ullah

14,307 Aufrufe • vor 1 Jahr

Today, we’re pushing a major update to Edison Analysis, our data analysis agent, which is tuned for scientific research and SOTA across data analysis benchmarks. In contrast to Kosmos, which runs for 6-12 hours and produces tens of thousands of lines of code, Edison Analysis runs for seconds to minutes and is best for specific, well-defined computational tasks. It is available both on our platform under the Analysis tab, and via API, and costs only one credit per run, so it is available to users on both free and paid tiers. Edison Analysis is a modified version of the data analysis agent Kosmos uses in its trajectories. Try it out! One of the most important improvements over our previous data analysis agents has been the addition of a specialized data retrieval tool. Edison Analysis can either use this tool to access data, or can pull data down directly via API. To evaluate this tool, we ranked the most commonly used public data repositories across recent papers from BioRxiv, and created a new benchmark that measures the ability of a language agent system to retrieve raw data from those sources. Edison Analysis gets 71% on this benchmark, and we’ll be working to increase this over time. You can read more about our benchmarks in the our blog post, link below. Some features worth highlighting: 1. Edison Analysis produces a report on the analysis it runs, along with a Jupyter notebook that you can download to reproduce the analysis yourself. Every figure it produces is linked back to the specific lines of code used to produce the figure, to make it easy to reproduce. 2. It works well with both Python and R. 3. One of the best uses for Edison Analysis is to use it to retrieve datasets that you can then analyze with Kosmos. We have a bunch of major improvements to Edison Analysis coming in the next few months that we’re excited to share. In the meantime, congratulations to the team, especially Ludovico Mitchener, Jon Laurent, Conor Igoe , Alex Andonian, and many more.

Today, we’re pushing a major update to Edison Analysis, our data analysis agent, which is tuned for scientific research and SOTA across data analysis benchmarks. In contrast to Kosmos, which runs for 6-12 hours and produces tens of thousands of lines of code, Edison Analysis runs for seconds to minutes and is best for specific, well-defined computational tasks. It is available both on our platform under the Analysis tab, and via API, and costs only one credit per run, so it is available to users on both free and paid tiers. Edison Analysis is a modified version of the data analysis agent Kosmos uses in its trajectories. Try it out! One of the most important improvements over our previous data analysis agents has been the addition of a specialized data retrieval tool. Edison Analysis can either use this tool to access data, or can pull data down directly via API. To evaluate this tool, we ranked the most commonly used public data repositories across recent papers from BioRxiv, and created a new benchmark that measures the ability of a language agent system to retrieve raw data from those sources. Edison Analysis gets 71% on this benchmark, and we’ll be working to increase this over time. You can read more about our benchmarks in the our blog post, link below. Some features worth highlighting: 1. Edison Analysis produces a report on the analysis it runs, along with a Jupyter notebook that you can download to reproduce the analysis yourself. Every figure it produces is linked back to the specific lines of code used to produce the figure, to make it easy to reproduce. 2. It works well with both Python and R. 3. One of the best uses for Edison Analysis is to use it to retrieve datasets that you can then analyze with Kosmos. We have a bunch of major improvements to Edison Analysis coming in the next few months that we’re excited to share. In the meantime, congratulations to the team, especially Ludovico Mitchener, Jon Laurent, Conor Igoe , Alex Andonian, and many more.

Sam Rodriques

61,934 Aufrufe • vor 9 Monaten

PhD Students – How to automatically extract data from papers for your literature review? Extracting relevant data from papers is challenging. However, this process can be automated. Meet AnswerThis – a tool that extracts data in seconds. Here is how it works. 1. Go to and log in. 2. After logging in, click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 3. Then click on 𝑈𝑝𝑙𝑜𝑎𝑑 𝑃𝐷𝐹 and upload your papers. 4. These are the papers from which you want to extract data. 5. After uploading papers, select data you want to extract. 6. The predefined options are - Key findings - Research gaps - Methodology - Limitations - Future work - Contributions - Practical implications 7. You can also extract custom data e.g., dataset used. 8. For example, I want to extract methodology used in these papers. 9. I selected 𝑀𝑒𝑡ℎ𝑜𝑑𝑜𝑙𝑜𝑔𝑦 and clicked on 𝐴𝑑𝑑 𝐶𝑜𝑙𝑢𝑚𝑛. 10. AnswerThis extract data about methodology used in the papers. 11. You can change data view from normal to Table View. 12. For this, scroll back to top and click on 𝑇𝑎𝑏𝑙𝑒 𝑉𝑖𝑒𝑤. 13. Now for instance, you want to extract more data from these papers. 14. Go back to the top and click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 15. Select the data type you want to extract. 16. For example, I want to extract data about future work. 17. So I click on 𝐹𝑢𝑡𝑢𝑟𝑒 𝑊𝑜𝑟𝑘 and then clicked on 𝐴𝑑𝑑 𝑐𝑜𝑙𝑢𝑚𝑛. 18. AnswerThis extracted data about future work from the papers. 19. After extracting the desired data, you can export it. 20. Select the data you want to extract. 21. Then click on 𝐸𝑥𝑝𝑜𝑟𝑡 𝑑𝑎𝑡𝑎. 22. Your data will be exported in CSV format. You can then analyze this data for your literature review. Try AnswerThis today: Anything you'd like to add?

PhD Students – How to automatically extract data from papers for your literature review? Extracting relevant data from papers is challenging. However, this process can be automated. Meet AnswerThis – a tool that extracts data in seconds. Here is how it works. 1. Go to and log in. 2. After logging in, click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 3. Then click on 𝑈𝑝𝑙𝑜𝑎𝑑 𝑃𝐷𝐹 and upload your papers. 4. These are the papers from which you want to extract data. 5. After uploading papers, select data you want to extract. 6. The predefined options are - Key findings - Research gaps - Methodology - Limitations - Future work - Contributions - Practical implications 7. You can also extract custom data e.g., dataset used. 8. For example, I want to extract methodology used in these papers. 9. I selected 𝑀𝑒𝑡ℎ𝑜𝑑𝑜𝑙𝑜𝑔𝑦 and clicked on 𝐴𝑑𝑑 𝐶𝑜𝑙𝑢𝑚𝑛. 10. AnswerThis extract data about methodology used in the papers. 11. You can change data view from normal to Table View. 12. For this, scroll back to top and click on 𝑇𝑎𝑏𝑙𝑒 𝑉𝑖𝑒𝑤. 13. Now for instance, you want to extract more data from these papers. 14. Go back to the top and click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 15. Select the data type you want to extract. 16. For example, I want to extract data about future work. 17. So I click on 𝐹𝑢𝑡𝑢𝑟𝑒 𝑊𝑜𝑟𝑘 and then clicked on 𝐴𝑑𝑑 𝑐𝑜𝑙𝑢𝑚𝑛. 18. AnswerThis extracted data about future work from the papers. 19. After extracting the desired data, you can export it. 20. Select the data you want to extract. 21. Then click on 𝐸𝑥𝑝𝑜𝑟𝑡 𝑑𝑎𝑡𝑎. 22. Your data will be exported in CSV format. You can then analyze this data for your literature review. Try AnswerThis today: Anything you'd like to add?

Faheem Ullah

21,390 Aufrufe • vor 10 Monaten

How to analyze data for literature review in seconds? 𝐅𝐢𝐫𝐬𝐭, 𝐥𝐞𝐭’𝐬 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐰𝐡𝐚𝐭 𝐈 𝐦𝐞𝐚𝐧 𝐛𝐲 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬. In a literature review, we study data in the papers: ✓ To understand the overall field of study ✓ To learn about trends and patterns in the field ✓ To identify gaps for future research For this, we collect a pool of papers say 100 papers. 𝐁𝐮𝐭 𝐰𝐡𝐚𝐭 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐝𝐚𝐭𝐚 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞𝐬𝐞 𝟏𝟎𝟎 𝐩𝐚𝐩𝐞𝐫𝐬? Like the following data: ↳ Publication year of these papers ↳ Citations of each paper ↳ Top authors in these papers ↳ Key terms in these papers ↳ Citation impact of these papers ↳ Authors’ impact of these papers This data about the papers also needs to be analyzed. It can reveal interesting patterns about the field. 𝐇𝐨𝐰 𝐭𝐨 𝐝𝐨 𝐭𝐡𝐢𝐬 𝐦𝐞𝐭𝐚-𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐢𝐧 𝐬𝐞𝐜𝐨𝐧𝐝𝐬? 1. Go to 2. Upload the PDF of papers to the library 3. Select all papers and click on bibliometric analysis 4. Create your canvas for meta-analysis ➟ This canvas contains all types of meta-analysis. ➟ You can download the graphs ➟ You can include them in your literature review. Try AnswerThis Canvas today: Anything you'd like to add?

How to analyze data for literature review in seconds? 𝐅𝐢𝐫𝐬𝐭, 𝐥𝐞𝐭’𝐬 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐰𝐡𝐚𝐭 𝐈 𝐦𝐞𝐚𝐧 𝐛𝐲 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬. In a literature review, we study data in the papers: ✓ To understand the overall field of study ✓ To learn about trends and patterns in the field ✓ To identify gaps for future research For this, we collect a pool of papers say 100 papers. 𝐁𝐮𝐭 𝐰𝐡𝐚𝐭 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐝𝐚𝐭𝐚 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞𝐬𝐞 𝟏𝟎𝟎 𝐩𝐚𝐩𝐞𝐫𝐬? Like the following data: ↳ Publication year of these papers ↳ Citations of each paper ↳ Top authors in these papers ↳ Key terms in these papers ↳ Citation impact of these papers ↳ Authors’ impact of these papers This data about the papers also needs to be analyzed. It can reveal interesting patterns about the field. 𝐇𝐨𝐰 𝐭𝐨 𝐝𝐨 𝐭𝐡𝐢𝐬 𝐦𝐞𝐭𝐚-𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐢𝐧 𝐬𝐞𝐜𝐨𝐧𝐝𝐬? 1. Go to 2. Upload the PDF of papers to the library 3. Select all papers and click on bibliometric analysis 4. Create your canvas for meta-analysis ➟ This canvas contains all types of meta-analysis. ➟ You can download the graphs ➟ You can include them in your literature review. Try AnswerThis Canvas today: Anything you'd like to add?

Faheem Ullah

12,068 Aufrufe • vor 9 Monaten

How to extract data from papers for literature review in seconds? 1. Go to 2. Upload 2-3 papers you already know are relevant 3. Start with clicking on one paper 4. ResearchCollab do the following for the paper ✦ Provide a short overview of the paper ✦ Identify weaknesses in the paper ✦ Share papers that contrast the existing paper ✦ Extract meta data about the paper ✦ Evaluate each part (e.g., methodology) of the paper ✦ Provide AI chat to extract any other data 5. Now click on the Related Papers button at top right 6. You will get papers related to the seed paper 7. You can click on each paper and read its abstract 8. If you find it relevant, just add it to your list of papers 9. Do the same for the other 2 seed papers 10. This way you will collect all relevant papers 11. And extract data from those papers After this, analyse the data and report the findings. Try ResearchCollab today:

How to extract data from papers for literature review in seconds? 1. Go to 2. Upload 2-3 papers you already know are relevant 3. Start with clicking on one paper 4. ResearchCollab do the following for the paper ✦ Provide a short overview of the paper ✦ Identify weaknesses in the paper ✦ Share papers that contrast the existing paper ✦ Extract meta data about the paper ✦ Evaluate each part (e.g., methodology) of the paper ✦ Provide AI chat to extract any other data 5. Now click on the Related Papers button at top right 6. You will get papers related to the seed paper 7. You can click on each paper and read its abstract 8. If you find it relevant, just add it to your list of papers 9. Do the same for the other 2 seed papers 10. This way you will collect all relevant papers 11. And extract data from those papers After this, analyse the data and report the findings. Try ResearchCollab today:

Faheem Ullah

26,494 Aufrufe • vor 6 Monaten

PhD Students – How to extract data from papers for your literature review in seconds? Extracting data from papers takes a lot of time. You can automate this process with Bohrium 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜𝐚𝐥𝐥𝐲 𝐞𝐱𝐭𝐫𝐚𝐜𝐭 𝐝𝐚𝐭𝐚 𝐟𝐫𝐨𝐦 𝐩𝐚𝐩𝐞𝐫𝐬? 1. Go to and log in 2. Click on 𝐾𝑛𝑜𝑤𝑙𝑒𝑑𝑔𝑒 𝐵𝑎𝑠𝑒 from the left menu 3. Upload the papers you selected for literature review 4. You will see the following option against each paper - Read PDF - Key Takeaway - AI Poster 5. Click on 𝑅𝑒𝑎𝑑 𝑃𝐷𝐹 for the first paper in your list 6. Write a prompt for the data you want to extract 7. For example, you can enter datasets, methodology etc. 8. It will extract the required data from the paper 9. If you want to extract Key Takeaways from the paper 10. Go back and click on 𝐾𝑒𝑦 𝑇𝑎𝑘𝑒𝑎𝑤𝑎𝑦𝑠 11. Bohrium will extract Key Takeaways from the paper 12. In addition to this, you also have 2 more options - AI Poster - Podcast 13. Click on 𝐴𝐼 𝑃𝑜𝑠𝑡𝑒𝑟 and it will create a poster for you 14. This is the poster based on the given research paper 15. If you click on 𝑃𝑜𝑑𝑐𝑎𝑠𝑡, it will convert the paper to audio 16. You can listen to the paper instead of reading it Repeat this cycle for all the papers in your pool. You will end up with the required data. You can use this data to write your literature review Try Bohrium today for FREE: Anything you’d like to add?

PhD Students – How to extract data from papers for your literature review in seconds? Extracting data from papers takes a lot of time. You can automate this process with Bohrium 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜𝐚𝐥𝐥𝐲 𝐞𝐱𝐭𝐫𝐚𝐜𝐭 𝐝𝐚𝐭𝐚 𝐟𝐫𝐨𝐦 𝐩𝐚𝐩𝐞𝐫𝐬? 1. Go to and log in 2. Click on 𝐾𝑛𝑜𝑤𝑙𝑒𝑑𝑔𝑒 𝐵𝑎𝑠𝑒 from the left menu 3. Upload the papers you selected for literature review 4. You will see the following option against each paper - Read PDF - Key Takeaway - AI Poster 5. Click on 𝑅𝑒𝑎𝑑 𝑃𝐷𝐹 for the first paper in your list 6. Write a prompt for the data you want to extract 7. For example, you can enter datasets, methodology etc. 8. It will extract the required data from the paper 9. If you want to extract Key Takeaways from the paper 10. Go back and click on 𝐾𝑒𝑦 𝑇𝑎𝑘𝑒𝑎𝑤𝑎𝑦𝑠 11. Bohrium will extract Key Takeaways from the paper 12. In addition to this, you also have 2 more options - AI Poster - Podcast 13. Click on 𝐴𝐼 𝑃𝑜𝑠𝑡𝑒𝑟 and it will create a poster for you 14. This is the poster based on the given research paper 15. If you click on 𝑃𝑜𝑑𝑐𝑎𝑠𝑡, it will convert the paper to audio 16. You can listen to the paper instead of reading it Repeat this cycle for all the papers in your pool. You will end up with the required data. You can use this data to write your literature review Try Bohrium today for FREE: Anything you’d like to add?

Faheem Ullah

13,433 Aufrufe • vor 1 Jahr

Here is an open-source tool to generate a complete dataset. 1. Describe the data you want 2. An orchestrator agent searches the web 3. Sub-agents run in parallel to fetch the data 4. You get a structured dataset you can download For example, you can run Bigset with the query "all leica lenses being sold on amazon", or "leica stores in kyoto with their opening hours and ratings". Bigset uses TinyFish's free Search and Fetch APIs in the background. You can configure it to refresh the data on a schedule. You can self-host it with your own keys. Here is the GitHub repository: You can get free TinyFish API keys here: Thanks to the TinyFish team for partnering with me on this post.

Here is an open-source tool to generate a complete dataset. 1. Describe the data you want 2. An orchestrator agent searches the web 3. Sub-agents run in parallel to fetch the data 4. You get a structured dataset you can download For example, you can run Bigset with the query "all leica lenses being sold on amazon", or "leica stores in kyoto with their opening hours and ratings". Bigset uses TinyFish's free Search and Fetch APIs in the background. You can configure it to refresh the data on a schedule. You can self-host it with your own keys. Here is the GitHub repository: You can get free TinyFish API keys here: Thanks to the TinyFish team for partnering with me on this post.

Santiago

20,877 Aufrufe • vor 3 Monaten

Our Researcher agent in Microsoft 365 Copilot never ceases to amaze me. It can reason over all your work data, like chats, meetings, files and emails, plus web data, to generate a comprehensive research report that helps you prep for a meeting, analyze trends, or build a strategy. I use it all the time. Here’s an example:

Our Researcher agent in Microsoft 365 Copilot never ceases to amaze me. It can reason over all your work data, like chats, meetings, files and emails, plus web data, to generate a comprehensive research report that helps you prep for a meeting, analyze trends, or build a strategy. I use it all the time. Here’s an example:

Satya Nadella

311,346 Aufrufe • vor 11 Monaten

$BTC Statistical Study using Claude - A Beginner's Workflow Here's an example of a z-score study on $BTC - still tinkering so don't take this as overtly useful information but the creation of a dashboard for the visualization of statistical data is phenomenal. my current workflow: > import $BTC time data - .csv file (can get this information from multiple venues - Binance is where I got mine) > creating bins - if you have a larger data set - you can use recent data to prevent overt bias in the long direction or filter consolidation and trending regime data into separate bins for statistical analysis - however, you will have to define thresholds and determine what that entails. > defining metrics in Claude that you want to use for statistical analysis e.g. for z-score what is it based on and what type of calculation? make sure you understand the calculations being performed for any metrics that you are doing a study for and modify them accordingly. > prompting Claude to do a statistical analysis with specific instructions and then tell it to create visualization for this. I've been messing around with this and I'm seriously impressed by the output.

$BTC Statistical Study using Claude - A Beginner's Workflow Here's an example of a z-score study on $BTC - still tinkering so don't take this as overtly useful information but the creation of a dashboard for the visualization of statistical data is phenomenal. my current workflow: > import $BTC time data - .csv file (can get this information from multiple venues - Binance is where I got mine) > creating bins - if you have a larger data set - you can use recent data to prevent overt bias in the long direction or filter consolidation and trending regime data into separate bins for statistical analysis - however, you will have to define thresholds and determine what that entails. > defining metrics in Claude that you want to use for statistical analysis e.g. for z-score what is it based on and what type of calculation? make sure you understand the calculations being performed for any metrics that you are doing a study for and modify them accordingly. > prompting Claude to do a statistical analysis with specific instructions and then tell it to create visualization for this. I've been messing around with this and I'm seriously impressed by the output.

Stoic

19,782 Aufrufe • vor 1 Jahr

PhD Students – How to find references for your paper in seconds? Meet @liner_app – a tool that inserts citations in paper. 𝐇𝐨𝐰 𝐋𝐢𝐧𝐞𝐫 𝐰𝐨𝐫𝐤𝐬? 1. Go to 2. Click on 𝐶𝑖𝑡𝑎𝑡𝑖𝑜𝑛 𝑅𝑒𝑐𝑜𝑚𝑚𝑒𝑛𝑑𝑒𝑟 from the left menu 3. Paste the text in which you want to insert citations 4. Now click on 𝐺𝑒𝑛𝑒𝑟𝑎𝑡𝑒 𝐶𝑖𝑡𝑎𝑡𝑖𝑜𝑛𝑠 5. Liner will insert citations in your text 𝐔𝐬𝐢𝐧𝐠 𝐋𝐢𝐧𝐞𝐫 𝐟𝐨𝐫 𝐜𝐢𝐭𝐚𝐭𝐢𝐨𝐧𝐬 𝐡𝐚𝐬 𝟒 𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬 ➝ Unlike ChatGPT, it recommends reliable citations ➝ The whole process is very transparent ➝ The citations automatically get inserted in your text ➝ The process is very quick and super easy Try Liner today for citations:

PhD Students – How to find references for your paper in seconds? Meet @liner_app – a tool that inserts citations in paper. 𝐇𝐨𝐰 𝐋𝐢𝐧𝐞𝐫 𝐰𝐨𝐫𝐤𝐬? 1. Go to 2. Click on 𝐶𝑖𝑡𝑎𝑡𝑖𝑜𝑛 𝑅𝑒𝑐𝑜𝑚𝑚𝑒𝑛𝑑𝑒𝑟 from the left menu 3. Paste the text in which you want to insert citations 4. Now click on 𝐺𝑒𝑛𝑒𝑟𝑎𝑡𝑒 𝐶𝑖𝑡𝑎𝑡𝑖𝑜𝑛𝑠 5. Liner will insert citations in your text 𝐔𝐬𝐢𝐧𝐠 𝐋𝐢𝐧𝐞𝐫 𝐟𝐨𝐫 𝐜𝐢𝐭𝐚𝐭𝐢𝐨𝐧𝐬 𝐡𝐚𝐬 𝟒 𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬 ➝ Unlike ChatGPT, it recommends reliable citations ➝ The whole process is very transparent ➝ The citations automatically get inserted in your text ➝ The process is very quick and super easy Try Liner today for citations:

Faheem Ullah

29,804 Aufrufe • vor 6 Monaten

PhD Students - How to insert citations in your paper in seconds. Use this FREE tool to insert citations on the go. 1. Go to 2. Insert the text of your research paper 3. Select the text for which you want a citation 4. Paperpal will suggest you citations. 5. Select the most relevant citation to insert. 6. All your citations are added to reference list Try Paperpal's citations today. It's FREE

PhD Students - How to insert citations in your paper in seconds. Use this FREE tool to insert citations on the go. 1. Go to 2. Insert the text of your research paper 3. Select the text for which you want a citation 4. Paperpal will suggest you citations. 5. Select the most relevant citation to insert. 6. All your citations are added to reference list Try Paperpal's citations today. It's FREE

Faheem Ullah

150,276 Aufrufe • vor 5 Monaten

Our new short course, Knowledge Graphs for RAG, is now available! Knowledge graphs are a data structure that is great at capturing complex relationships between data of multiple types. By enabling more sophisticated retrieval of text than similarity search alone, knowledge graphs can improve the context you pass to the LLM and the performance of your RAG applications. In this course, taught by Andreas Kollegger of Neo4j, you’ll - Explore how knowledge graphs work by building a graph of public financial documents from scratch - Learn to write queries that retrieve text and data from the graph and use it to enhance the context you pass to an LLM chatbot - Combine a knowledge graph with a question-answer chain to build better RAG-powered chat systems Sign up here!

Our new short course, Knowledge Graphs for RAG, is now available! Knowledge graphs are a data structure that is great at capturing complex relationships between data of multiple types. By enabling more sophisticated retrieval of text than similarity search alone, knowledge graphs can improve the context you pass to the LLM and the performance of your RAG applications. In this course, taught by Andreas Kollegger of Neo4j, you’ll - Explore how knowledge graphs work by building a graph of public financial documents from scratch - Learn to write queries that retrieve text and data from the graph and use it to enhance the context you pass to an LLM chatbot - Combine a knowledge graph with a question-answer chain to build better RAG-powered chat systems Sign up here!

Andrew Ng

244,435 Aufrufe • vor 2 Jahren

Turn your ideas into reality - apps, projects, tools, data analysis - just by describing what you want. Memex runs on your desktop and can code in any programming language or tech stack. Try it out for free today at

Turn your ideas into reality - apps, projects, tools, data analysis - just by describing what you want. Memex runs on your desktop and can code in any programming language or tech stack. Try it out for free today at

Memex

1,096,385 Aufrufe • vor 1 Jahr