{ "cells": [ { "cell_type": "code", "execution_count": 23, "id": "unnecessary-combine", "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import pandas as pd" ] }, { "cell_type": "code", "execution_count": 24, "id": "touched-clerk", "metadata": {}, "outputs": [], "source": [ "df = pd.read_csv(\"../data/analyses/guesses.csv\")" ] }, { "cell_type": "code", "execution_count": 25, "id": "lasting-buffer", "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/html": [ "
\n", " | Unnamed: 0 | \n", "date | \n", "probability | \n", "
---|---|---|---|
count | \n", "6239.000000 | \n", "6.239000e+03 | \n", "6239.000000 | \n", "
mean | \n", "3119.000000 | \n", "2.021030e+13 | \n", "0.632259 | \n", "
std | \n", "1801.188497 | \n", "1.239403e+06 | \n", "0.196005 | \n", "
min | \n", "0.000000 | \n", "2.021030e+13 | \n", "0.217052 | \n", "
25% | \n", "1559.500000 | \n", "2.021030e+13 | \n", "0.479808 | \n", "
50% | \n", "3119.000000 | \n", "2.021031e+13 | \n", "0.621566 | \n", "
75% | \n", "4678.500000 | \n", "2.021031e+13 | \n", "0.789861 | \n", "
max | \n", "6238.000000 | \n", "2.021031e+13 | \n", "0.999820 | \n", "