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#Nsfg codebook how to
#Nsfg codebook series

In the case of a scalar continuous distribution, it gives the area under the probability density function from minus infinity to. Įvery probability distribution supported on the real numbers, discrete or “mixed” as well as continuous, is uniquely identified by an upwards continuous monotonic increasing cumulative distribution function satisfying and. In probability theory and statistics, the cumulative distribution function ( CDF) of a real-valued random variable, or just distribution function of, evaluated at, is the probability that will take a value less than or equal to. Make a CDF (Cumulative Distribution Function) You could also use pmf_age.plot() to plot the Pmf as a line plot. Compute the mean weight of full-term babies.Use full_term and birth_weight to select birth weight in pounds for full-term babies.

#Nsfg codebook series

Make a Boolean Series called full_term that is true for babies with 'prglngth' greater than or equal to 37 weeks.

Then I extract birthwgt_lb1 and birthwgt_oz1, replace special codes with NaN, and compute total birth weight in pounds, birth_weight. The result is a sample that is representative of the U.S. I’ve provided a function, resample_rows_weighted, that takes the NSFG data and resamples it using the sampling weights in wgt2013_2015. Now let’s pull together the steps in this chapter to compute the average birth weight for full-term babies. Matplotlib functions provide a lot of options be sure to read the documentation so you know what they can do. Plt.hist(agecon, bins=20, histtype='step')

1Plot a histogram of agecon with 20 bins.

If you want to learn more about matplotlib, you can check out DataCamp’s Introduction to Matplotlib course.

#Nsfg codebook how to

Learning how to read documentation is an essential skill. You’ll use the bins parameter that you saw in the video, and also a new parameter – histtype – which you can read more about here in the matplotlib documentation. Here, you’re going to plot a histogram of this variable. They quickly give you an overview of the distribution of a variable, that is, what values the variable can have, and how many times each value appears.Īs we saw in a previous exercise, the NSFG dataset includes a variable 'agecon' that records age at conception for each pregnancy. Histograms are one of the most useful tools in exploratory data analysis. It’s now time to get back to the motivating question for this chapter: what is the average birth weight for babies in the U.S.? See you in the next video! A variable that’s computed from other variables is sometimes called a ‘recode’.