All things are constantly changing. In Buddhism ” impermanence of affairs ” However, in this season of many separations and encounters, it is important to view change positively rather than negatively. The world should be getting better every day.
We should think that the administration of the new coronavirus vaccine means that the world is heading in a better direction every day. As the administration progresses, the infection will come closer to being brought under control. In order to realize this on a daily basis, I look at the status of vaccine administration in each country (by country's population). 100 We are publishing a report that visualizes how many people have administered the drug.
COVID-19 Vaccinations Status by Country (by JMP Public)
https://public.jmp.com/packages/npMyYpl9Ns7m_SG7wJcLy
Data for drawing the report ( https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations ) is updated daily and shows the number of vaccines administered, number of people administered, and population by country and date. 100 The number of people administered per person is recorded.
When you import new data, you may want to know what has changed from the previous data. The good news is that new data records new countries starting to administer doses, and some countries have significantly increased the number of doses given to the most recent date, making us realize that the world is changing for the better. can.
At the time of writing ( 2021-03-29 ) shows some of the latest data imported (below, Latest data ).
This data is (Country) and date (Date) Sorted by.

On the other hand, this 1 Days ago ( 2021-03-28 ) data. (below, 1 Day before data )

The number of rows of data is the latest data. 9,303 subject, 1 The data from the previous day 9,172 This is the case. this 1 during the day 131 More data has been added. Italy (Italy) To, 2021-03-28 You can see that data has been added, and of course data has been added for other countries as well.
I have been featured in newspapers and magazines since I grew up. ” Find the mistake ” It has become a hassle to do it. To find out what's different, JMP 16 The only way to do this is to use ``Data Table Comparison''.
JMP 16 "Compare Data Tables"
"Compare data tables" 2 data table ( JMP This function compares formats) and reports differences. This feature was available in previous versions, but JMP 16 The functionality has been significantly updated.
If you want to compare data like this, simply do 2 You cannot match two tables by row number. This is because the number of data rows per country is variable, and there is as much data as there are dates available.
In previous versions, it was not possible to compare data like this, but in JMP 16, there are new ways to align data. ID This is now possible using columns. Furthermore, the report after comparison is very easy to understand, so you can actually JMP 16 So, with the latest data 1 Let's compare the data from the previous day.
Specify how to align data
compare 2 data table JMP , with the latest data active, [ table ] > [ Comparing data tables ] Choose.

comparison The latest data, Target table for 1 Data from the previous day is specified. You can see that the columns with the same name are matched in the column correspondence displayed in "Options".
The "how to arrange data" below is important. In this example, ID Click the "Use Columns" button, Country and Date Check the box. In other words, we specify that we want to look at differences by country and date. *

After specifying, the upper right [ comparison ] By clicking the button, a comparison report will be displayed.
* here Country Even if you specify only the difference, the same report will be displayed as the difference, but if you also check the date, the date will also be displayed on the difference report, making it easier to understand the comparison report.
comparison report
This is a report that compares two data tables.
red The lines marked with are included in the latest data, 1 This is something that is not present in the data from the previous day. In this example, the relevant line is 132 It shows that there is a row.
yellow Cells filled with are the latest data and 1 Cells with different values when comparing data from the previous day. In this example, the relevant cell is 5,806 It shows that there is.

In the above report, Austria ( Austria )Let's look at. as a red line 2021-3-27, 2021-3-28 You can see that data has been added. on the other hand, 2021-3-26 Many of the cells in the previous data are filled in yellow, indicating that the data has been modified. When you click a yellow cell on a report, details will be displayed in "Cell Data" at the top of the report. In this example, Austria's 2021-3-26 The cumulative number of doses is 1,492,002 from the matter 1,489,710 You can see that it has been corrected.
Scroll through the report to see other differences.

This is Gambia (Gambia , a country in West Africa ) This is the data. This is a newly added country with the latest data. 2021-03-28 Administration was started and the population 100 per person 0.22 We know that it has been administered to humans. It may still be a while before the vaccine is distributed across the country, but it is a big step for The Gambia.
By the way, the lines painted in blue are 1 There is a line, but this is 1 Indicates rows that are present in the previous day's data but not in the latest data.

Applicable to Rwanda (Rwanda, east african country ) of 2021-03-25 This is the line. I don't know the reason, but there may have been some kind of flaw in the data, and it may have been deleted in the latest data.
Understand changes with data
Some of our readers may have data that is updated daily like this one, or at shorter intervals. Various examples can be considered, such as manufacturing process parameter data, clinical trial data, experimental data that looks at changes in characteristic values over time, and large-scale consumer survey data. I think it will be useful for checking data.
All things are constantly changing. That's what makes daily life so enjoyable. The author wanted to always have that kind of positive thinking.