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What kind of test should I use to determine correlation between the value of a commodity and consumer sentiment?



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsShould I use a cleaned labeled data for sentiment analysis?r - How to determine the correlation between unordered categorical variables and individuals?What is the difference between sentiment analysis (e.g. on Facebook) and Twitter sentiment analysis?Type of Test to Determine Correlation in RIs it possible to determine the correlation direction of two variables using factor loadings?Combining Machine Learning classifier with NLTK Vader for Sentiment AnalysisIndependence/correlation test between features (not feautre-label)What is the relationship between correlation ratio and one-way Anova?Trying to find the correlation between inputs and output










1












$begingroup$


I’m currently studying data science and am trying to apply my skills to a small project.



Basically, I’ve collected data about a commodity’s value over two time periods (30 data points each in 4 week and 2 week periods). I’ve also done a rough Twitter sentiment analysis on tweets concerning this commodity, over a much larger time period of two years.



I want to see if the commodity’s value is related to the Twitter sentiment, but I’m not sure what kind of test I should be using. I feel like I might be overthinking, and I should just find the correlation coefficient for the two data sets and be done with it. Is this correct, or do I need to use some sort of hypothesis test instead? Any guidance would be appreciated!



This is my first time posting, so apologies if this is a bad question or if I haven’t been detailed enough.










share|improve this question









$endgroup$
















    1












    $begingroup$


    I’m currently studying data science and am trying to apply my skills to a small project.



    Basically, I’ve collected data about a commodity’s value over two time periods (30 data points each in 4 week and 2 week periods). I’ve also done a rough Twitter sentiment analysis on tweets concerning this commodity, over a much larger time period of two years.



    I want to see if the commodity’s value is related to the Twitter sentiment, but I’m not sure what kind of test I should be using. I feel like I might be overthinking, and I should just find the correlation coefficient for the two data sets and be done with it. Is this correct, or do I need to use some sort of hypothesis test instead? Any guidance would be appreciated!



    This is my first time posting, so apologies if this is a bad question or if I haven’t been detailed enough.










    share|improve this question









    $endgroup$














      1












      1








      1





      $begingroup$


      I’m currently studying data science and am trying to apply my skills to a small project.



      Basically, I’ve collected data about a commodity’s value over two time periods (30 data points each in 4 week and 2 week periods). I’ve also done a rough Twitter sentiment analysis on tweets concerning this commodity, over a much larger time period of two years.



      I want to see if the commodity’s value is related to the Twitter sentiment, but I’m not sure what kind of test I should be using. I feel like I might be overthinking, and I should just find the correlation coefficient for the two data sets and be done with it. Is this correct, or do I need to use some sort of hypothesis test instead? Any guidance would be appreciated!



      This is my first time posting, so apologies if this is a bad question or if I haven’t been detailed enough.










      share|improve this question









      $endgroup$




      I’m currently studying data science and am trying to apply my skills to a small project.



      Basically, I’ve collected data about a commodity’s value over two time periods (30 data points each in 4 week and 2 week periods). I’ve also done a rough Twitter sentiment analysis on tweets concerning this commodity, over a much larger time period of two years.



      I want to see if the commodity’s value is related to the Twitter sentiment, but I’m not sure what kind of test I should be using. I feel like I might be overthinking, and I should just find the correlation coefficient for the two data sets and be done with it. Is this correct, or do I need to use some sort of hypothesis test instead? Any guidance would be appreciated!



      This is my first time posting, so apologies if this is a bad question or if I haven’t been detailed enough.







      python correlation sentiment-analysis






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Apr 2 at 15:52









      AndyAndy

      61




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