Data Management to Create Comparative Figures
Kristina Alas
Author
01/06/2022
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52
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Description
Use data management techniques to create mean data and use it assemble into a line graph to compare buffalo grass cultivars.
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- [00:00:06.900]So this is part two of lesson two.
- [00:00:09.020]And for this lesson or for this presentation,
- [00:00:13.260]we're going to learn about the mean or the average,
- [00:00:16.970]and so a practice using descriptive statistics
- [00:00:19.860]to analyze our data.
- [00:00:21.710]And finally, we're just going to create a table
- [00:00:24.110]and line graph in Excel using the data from the software.
- [00:00:29.450]Now that bad data has been identified and eliminated,
- [00:00:33.000]we can learn how to compare more than one genotype
- [00:00:35.650]for all three repetitions.
- [00:00:37.560]So our goal is to create a line graph,
- [00:00:39.980]but instead of just looking at one genotype
- [00:00:43.840]and how it did at all three repetitions,
- [00:00:46.320]we wanna look at a line graph with three different genotypes
- [00:00:50.450]and how they did throughout the 2015 year.
- [00:00:55.310]So if I want to compare this genotype
- [00:00:58.190]to two other genotypes,
- [00:00:59.957]and this genotype meaning Ne-9-3565.
- [00:01:03.210]If I wanna compare him to two others,
- [00:01:05.710]I need to start by finding the mean, or average score,
- [00:01:09.340]at each date of this genotype.
- [00:01:14.270]So the mean is the average number found
- [00:01:16.360]by adding all the data points and dividing by the number
- [00:01:19.410]of data points.
- [00:01:20.800]So if we look at the percent greenness scores
- [00:01:23.420]for all three repetitions for Ne-9-3565,
- [00:01:27.080]let's focus on May 11th and figure out how we can find
- [00:01:30.490]the mean or the average.
- [00:01:32.710]So our first step is going to be to add each -- all three
- [00:01:36.680]of the scores together.
- [00:01:38.340]And so then we'll get that sum.
- [00:01:40.270]And then we're gonna divide that by three
- [00:01:42.810]because there are three repetitions.
- [00:01:45.260]And then we will have our mean.
- [00:01:47.990]And so we need to do that for each date
- [00:01:51.120]to find our mean score, our average score for each date.
- [00:01:55.320]And once we do that, we can now make a line graph
- [00:02:01.140]and we can represent any 9-3565
- [00:02:06.290]with one value at each date.
- [00:02:11.140]So now that the average has been calculated
- [00:02:13.530]for one of our genotypes,
- [00:02:15.700]we can go ahead and calculate the average
- [00:02:18.410]for the other two genotypes I would like to compare it to.
- [00:02:22.030]So in this nice table,
- [00:02:23.860]I have, you can see, the dates for 2015
- [00:02:28.380]that greenness scores were given,
- [00:02:30.700]and this would be the average scores
- [00:02:33.340]for all three of my genotypes.
- [00:02:36.360]And so once I create that table,
- [00:02:38.160]I can create a nice line graph in Excel.
- [00:02:41.840]And this line graph is a nice and organized and easy way
- [00:02:45.690]for me to compare these three genotypes.
- [00:02:48.200]I can easily tell how fast they greened up in the spring
- [00:02:52.070]and how long they stayed green into the fall.
- [00:02:55.830]And by looking at this, I can see that Ne-66-36,
- [00:03:00.360]which is the orange line,
- [00:03:02.240]greened up the fastest in the spring.
- [00:03:05.120]And I can see that it stayed green
- [00:03:07.160]just as long as Ne-9-3565 into the fall.
- [00:03:14.850]So you're going to be given an assignment
- [00:03:17.130]and you're going to have to look at data
- [00:03:19.120]for three genotypes.
- [00:03:21.030]But before you do, I just wanna point out
- [00:03:24.030]that the data you've looked at previously,
- [00:03:26.410]I rounded to the 10th decimal place.
- [00:03:29.220]And so that's one thing you're going to have to do
- [00:03:32.270]for the data you will have.
- [00:03:34.830]And I also want to point out
- [00:03:37.550]that if you see percentages over 100%, it's not bad data.
- [00:03:42.840]This has to do with how the program calculated the plot.
- [00:03:46.280]So for this, we will just keep the percentages over 100%.
- [00:03:54.040]For your assignment, you are going to use Excel
- [00:03:56.700]to graph the mean of three different buffalograss varieties
- [00:04:00.680]for 2014 and 2015.
- [00:04:04.390]So your final product will look like this.
- [00:04:07.510]You'll have two line graphs
- [00:04:09.630]and you'll have the buffalograss percent greenness scores
- [00:04:12.500]in 2014 for all three genotypes
- [00:04:15.750]and the buffalograss percent greenness scores in 2015
- [00:04:19.970]for all three genotypes.
- [00:04:22.560]And so you're going to be given actual data.
- [00:04:26.220]And so this is what you are going to be looking at.
- [00:04:31.280]And so when you're looking at this,
- [00:04:33.680]you'll see we have ID here.
- [00:04:36.490]So those are your three genotypes.
- [00:04:39.120]So 11-3608,
- [00:04:41.198]53-18,
- [00:04:42.407]and 11-3622.
- [00:04:44.930]And you have all three repetitions
- [00:04:47.140]and their greenness scores.
- [00:04:49.670]What may be confusing is that 2014 data is not all together,
- [00:04:55.360]so you're really gonna have to pay attention.
- [00:04:57.790]Here's some of the scores for 2014
- [00:05:00.990]and then the other scores are over here.
- [00:05:03.800]So that's what you're gonna have to do first
- [00:05:05.900]is organize that data.
- [00:05:10.600]And then the next thing you should do
- [00:05:12.550]once you organize your data, you want to calculate the mean.
- [00:05:16.750]So you can organize it and you can see here,
- [00:05:20.170]I have one of my genotypes and I have their data,
- [00:05:24.750]so I've organized it.
- [00:05:25.950]And this is just for 2015.
- [00:05:28.560]So one table for all the dates of 2015.
- [00:05:31.820]And then I calculated their mean.
- [00:05:33.930]Once I calculate the mean for all three of my genotypes,
- [00:05:37.680]I can condense that down to an even smaller table
- [00:05:41.450]and then I can round my mean to the 10th decimal place.
- [00:05:45.440]And then once I do that,
- [00:05:47.660]I can then begin to create my line graphs.
- [00:05:52.020]Once you create line graphs for both 2014 and 2015,
- [00:05:58.440]make sure that you add a caption for them.
- [00:06:01.970]So graphs -- bar graphs, line graphs --
- [00:06:05.130]we're always gonna refer to them as figures.
- [00:06:07.650]So figure one here is the percent greenness
- [00:06:10.830]for three buffalograss genotypes in 2014.
- [00:06:14.910]The scores are the averages of three repetitions.
- [00:06:18.510]And so if I have two graphs,
- [00:06:20.240]I'm going to have figure one and figure two.
- [00:06:23.470]And so once you do that,
- [00:06:25.370]then you are going to rank the genotypes
- [00:06:28.260]based on their greenness.
- [00:06:30.390]So which variety did best in 2014 by looking at this graph?
- [00:06:35.450]Which one do you think?
- [00:06:37.110]And the same for 2015, which did best in 2015?
- [00:06:42.250]And which variety did best overall?
- [00:06:44.460]Did best in 2014?
- [00:06:46.860]In 2015?
- [00:06:49.860]And so when you create these graphs,
- [00:06:52.920]always make sure to omit any bad data
- [00:06:56.220]and the bad data that we talked about...
- [00:06:58.880]Let me find that slide.
- [00:07:03.700]And so the bad data we talked about
- [00:07:05.730]would be due to the quality of the photo,
- [00:07:08.210]which the only date you will come across with bad quality
- [00:07:12.000]is for June 8th in 2015.
- [00:07:16.010]And then also make sure you take out any bad data
- [00:07:19.600]due to weed and bluegrass infestations,
- [00:07:23.100]which will be seen in the spring and in the fall.
- [00:07:27.830]And so to help you make your line graphs,
- [00:07:30.750]I do have links to two presentations
- [00:07:33.970]on how to calculate the mean and how to create a line graph
- [00:07:38.530]in Excel.
- [00:07:41.420]So which three genotypes are you going to graph and rank
- [00:07:46.660]in Excel?
- [00:07:47.880]Well, there are two options for you.
- [00:07:49.890]So there's option one and there's no difference
- [00:07:52.960]between option one or option two,
- [00:07:55.070]just simply different genotypes.
- [00:07:57.730]And so, say, if you choose option two,
- [00:08:00.840]you will look here and these are all in Excel files
- [00:08:04.040]for you already.
- [00:08:05.440]So you have your three genotypes, your three repetitions,
- [00:08:09.310]and the percent greenness for all of the dates.
- [00:08:12.400]And then for you to kind of visualize where they are
- [00:08:17.050]on the experimental area, I have them plotted here for you.
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