(English follows Japanese)
Japanese Title: Visualization and Analysis of Birth Number Data by JMP ~ Further Analysis from Birthday Ranking ~
SAS Institute Japan Co., Ltd. JMP Japan Division Technical Group
System engineer Naoya Masukawa
"What is the probability of a person having the same birthday in a class?"There is a problem of the famous probability of being called, but this probability is usually calculated as likelihood likely to be the day born in a year.However, the actual number of births is Christmas December 25 is more than other days, January 1 to 3, which is the New Year's Three Day, less than other days, such as a certain day or the surrounding day There is bias in the number of births.For that reason, there are "birthday rankings" that ranked in descending order of births.
In this presentation, using the survey data on the number of births since 1996 from the "Ministry of Health, Labor and Welfare" "Population dynamics statistics", we visualize the number of births per day, grasp the day and month when the number of births is biased, By calculating and comparing the degree of deviation, we consider the cause of bias.Taking into consideration the trend in the number of births by year and the bias of the number of births by month, we apply a statistical model to explain the number of births by year, month, and number of days in each month and consider the effect of the year and the effect of the moon.Especially about the visualization part of the number of births, explain the result of trial and error with the demonstration of JMP.
The Visualization and Analysis of Live Birth Data Using JMP®: Advancing Analysis From Date of Birth Ranking
Naohiro Masukawa, Systems Engineer, Technical Group, JMP Japan Division, SAS Institute Japan
"It is a famous probability question, but this probability is not calculated as equally probable for all days the a birthday? However, there are more live births on Christmas, December 25, than on other days, and fewer live births during the first three days of the year, January 1 to 3. In other words, there are biases in the number of live births on certain days and their surrounding days. For that reason, there is a "date of birth ranking" in which the days are ranked in order of the number of live births. In this presentation, I will use survey data About live births after 1996 from the Ministry of Health, Labor and Welfare's Population Survey Report. By understanding the days and months in which there are live birth biases - visualizing the number of live births per day and calculating and comparing these live birth distribution biases per year - the sources of the biases can be considered. Further, by considering the transitions in live births by year and biases in the number of live births by month, a statistical model that explains the number of live births by year, month, and day can be established, and annual and monthly impacts can be considered. In particular, I will explain trial-and-error results for the visualization of live births through a JMP demonstration.
