Merge pull request #981 from Kotlin/0.15-notebook

0.15 example notebook

README.md

@@ -38,7 +38,7 @@ You could find the following articles there:
 * [Rendering to HTML](https://kotlin.github.io/dataframe/tohtml.html#jupyter-notebooks)
 
 ### What's new
-Check out this [notebook with new features](examples/notebooks/feature_overviews/0.14.0/new_features.ipynb) in development for the next release.
+Check out this [notebook with new features](examples/notebooks/feature_overviews/0.15/new_features.ipynb) in v0.15.
 
 The DataFrame compiler plugin has reached public preview!
 Here's a [compiler plugin demo project](https://github.com/koperagen/df-plugin-demo) that works with [IntelliJ IDEA](https://www.jetbrains.com/idea/) 2024.2.

examples/README.md

@@ -42,7 +42,7 @@ ___
 * imdb sql database ([notebook](https://github.com/zaleslaw/KotlinDataFrame-SQL-Examples/blob/master/notebooks/imdb.ipynb)) – In this notebook, we use Kotlin DataFrame and Kandy library to analyze data from [IMDB](https://datasets.imdbws.com/) (SQL dump for the MariaDB database with the name "imdb" could be downloaded by this [link](https://drive.google.com/file/d/10HnOu0Yem2Tkz_34SfvDoHTVqF_8b4N7/view?usp=sharing)).
 
 ---
-* 0.14.0 Dev Feature Overview [notebook](notebooks/feature_overviews/0.14.0/new_features.ipynb)
-  Overview of new features available in 0.14.0-dev
+* 0.14 Feature Overview [notebook](notebooks/feature_overviews/0.14/new_features.ipynb)
+  Overview of new features available in 0.14
 
 These example notebooks are tested by the [:core module](../core/src/test/kotlin/org/jetbrains/kotlinx/dataframe/jupyter).

examples/notebooks/feature_overviews/0.15/us_pop_by_state.csv

@@ -0,0 +1,53 @@
+rank,state,state_code,2020_census,percent_of_total
+1.0,California,CA,39538223,0.1191
+2.0,Texas,TX,29145505,0.0874
+3.0,Florida,FL,21538187,0.0647
+4.0,New York,NY,20201249,0.0586
+5.0,Pennsylvania,PA,13002700,0.0386
+6.0,Illinois,IL,12801989,0.0382
+7.0,Ohio,OH,11799448,0.0352
+8.0,Georgia,GA,10711908,0.032
+9.0,North Carolina,NC,10439388,0.0316
+10.0,Michigan,MI,10077331,0.0301
+11.0,New Jersey,NJ,9288994,0.0268
+12.0,Virginia,VA,8631393,0.0257
+13.0,Washington,WA,7705281,0.0229
+14.0,Arizona,AZ,7151502,0.0219
+15.0,Massachusetts,MA,7029917,0.0209
+16.0,Tennessee,TN,6910840,0.0206
+17.0,Indiana,IN,6785528,0.0203
+18.0,Maryland,MD,6177224,0.0185
+19.0,Missouri,MO,6154913,0.0182
+20.0,Wisconsin,WI,5893718,0.0175
+21.0,Colorado,CO,5773714,0.0174
+22.0,Minnesota,MN,5706494,0.017
+23.0,South Carolina,SC,5118425,0.0155
+24.0,Alabama,AL,5024279,0.0148
+25.0,Louisiana,LA,4657757,0.014
+26.0,Kentucky,KY,4505836,0.0135
+27.0,Oregon,OR,4237256,0.0127
+28.0,Oklahoma,OK,3959353,0.0119
+29.0,Connecticut,CT,3605944,0.0107
+30.0,Utah,UT,3205958,0.0097
+31.0,Iowa,IA,3271616,0.0095
+32.0,Nevada,NV,3104614,0.0093
+33.0,Arkansas,AR,3011524,0.0091
+34.0,Mississippi,MS,2961279,0.009
+35.0,Kansas,KS,2937880,0.0088
+36.0,New Mexico,NM,2117522,0.0063
+37.0,Nebraska,NE,1961504,0.0058
+38.0,Idaho,ID,1839106,0.0054
+39.0,West Virginia,WV,1793716,0.0054
+40.0,Hawaii,HI,1455271,0.0043
+41.0,New Hampshire,NH,1377529,0.0041
+42.0,Maine,ME,1362359,0.0041
+43.0,Rhode Island,RI,1097379,0.0032
+44.0,Montana,MT,1084225,0.0032
+45.0,Delaware,DE,989948,0.0029
+46.0,South Dakota,SD,886667,0.0027
+47.0,North Dakota,ND,779094,0.0023
+48.0,Alaska,AK,733391,0.0022
+49.0,DC,DC,689545,0.0021
+50.0,Vermont,VT,643077,0.0019
+51.0,Wyoming,WY,576851,0.0017
+,Total U.S.,Total,331449281,