WEBVTT 00:00.120 --> 00:01.040 Welcome back. 00:01.160 --> 00:04.720 We used numpy to generate random numbers. 00:04.720 --> 00:07.960 Also we created two variables size and price. 00:07.960 --> 00:13.520 Size depends on random numbers and price depends on size. 00:13.520 --> 00:17.040 With this linear relationship between size and price. 00:17.080 --> 00:24.080 Also, we converted numpy array into a pandas data frame table like structure. 00:24.120 --> 00:33.520 Using this PD pandas dot data frame, and we concatenated the size and the price to draw and create 00:33.560 --> 00:34.560 this table. 00:34.840 --> 00:36.360 The size and the price. 00:36.360 --> 00:39.960 Those are random generated numbers. 00:40.000 --> 00:44.400 Now let's visualize the relationship here. 00:44.400 --> 00:48.120 We're going to use matplotlib. 00:48.360 --> 00:51.440 Start with plt dot figure. 00:51.640 --> 00:58.760 And here set the figure size equals to eight by five okay. 00:58.960 --> 01:03.340 This creates a new figure creating Creating. 01:03.380 --> 01:06.100 And you figure the plot window. 01:06.300 --> 01:12.980 The figure size sets the width to eight inches and height to five inches. 01:13.220 --> 01:16.540 So here with five and eight inches. 01:16.700 --> 01:17.860 Five inches. 01:17.900 --> 01:18.460 Okay. 01:18.580 --> 01:26.420 If we run the code, we have the figure size 800 with 500 with zero axis. 01:26.500 --> 01:29.020 So we need to set this axis. 01:29.140 --> 01:32.220 Clear the input and output. 01:32.260 --> 01:32.820 Sorry. 01:32.860 --> 01:37.020 Now we're going to plot a scatter plot or dots. 01:37.180 --> 01:42.580 So plots plotting set plt dot scatter. 01:42.820 --> 01:44.580 What data we need to use. 01:44.820 --> 01:48.740 We need to use the data size. 01:48.860 --> 01:54.300 So data we need to get the size which is this. 01:54.300 --> 01:58.380 So we are going to get this column the size. 01:58.380 --> 02:03.180 And remember we stored all the data inside the data variable. 02:03.180 --> 02:05.590 So we need to access the data variable. 02:05.830 --> 02:07.030 How to access it? 02:07.070 --> 02:15.310 We specify its name and we specify inside the angled bracket the column that we need to display. 02:15.550 --> 02:17.750 This is the first one. 02:17.790 --> 02:19.630 This is the first axis. 02:19.910 --> 02:22.190 The second axis which is the y. 02:22.390 --> 02:27.350 So the first the first variable is the x axis. 02:27.390 --> 02:30.110 The second one is the y axis. 02:30.110 --> 02:39.190 Starting with data, the price and set the color blue and label data points okay, this plots a scatter 02:39.190 --> 02:45.030 plot dots with x the size and the y axis the price. 02:45.110 --> 02:50.790 The color dots are blue and the data data points used in the legend. 02:50.830 --> 02:55.590 Okay, now if we run it, we have those dots. 02:55.630 --> 02:56.110 Okay. 02:56.150 --> 03:00.350 So here we have this figure eight by five inches. 03:00.470 --> 03:09.690 We have the 100 dots around 100 dots because we are not getting the first ten in order to get the first 03:09.690 --> 03:10.970 ten data. 03:11.090 --> 03:14.170 Here we need to set it inside the scatter. 03:14.330 --> 03:16.370 So let me make it like this. 03:16.410 --> 03:19.650 In order to get and use the head. 03:19.690 --> 03:22.490 Head ten to get the first ten. 03:22.530 --> 03:23.890 Head ten. 03:23.930 --> 03:25.090 Run it again. 03:25.090 --> 03:26.010 And here we go. 03:26.210 --> 03:31.730 We have only the first ten results from the data set that we get. 03:31.730 --> 03:40.290 So since we are getting the first ten size and the prices, we need to plot them here inside this figure. 03:40.330 --> 03:44.650 Now we can add a title at the top of the plot. 03:44.650 --> 03:52.010 So PLT the plot dot title house house size versus price. 03:52.010 --> 03:59.370 Also, we can set the label for the x axis to tell the user that this is the size in square feet and 03:59.370 --> 04:00.290 the y label. 04:00.290 --> 04:02.770 This is in thousand dollars. 04:02.770 --> 04:07.780 Also, we can set a legend, a grid view and to show it. 04:07.780 --> 04:17.700 So here we have this grid in order to add the plotting to this copy or cut this and paste it here. 04:17.900 --> 04:20.180 Cut the code, paste it here. 04:20.340 --> 04:24.980 Use the copy selection not copy and paste it here okay. 04:25.220 --> 04:26.660 Delete this cell. 04:26.660 --> 04:27.980 And here we go. 04:28.340 --> 04:35.140 Now we're going to display the same output but with grids and legend. 04:35.140 --> 04:36.140 Run it again. 04:36.340 --> 04:37.860 You see the grids. 04:38.020 --> 04:41.220 You see the label size and the price. 04:41.220 --> 04:42.940 You see the legend here. 04:43.180 --> 04:46.340 And the dots are inside this grid. 04:46.340 --> 04:53.100 So this is a very important thing to visualize and plot the data on this chart. 04:53.100 --> 05:00.980 So in this video we learned how to plot a scatter a scatter plot, how to create this diagram showing 05:01.020 --> 05:07.940 the points and the results of all the first ten random generated results.