{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%load_ext lab_black" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from dateutil.relativedelta import relativedelta\n", "import datetime\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "import seaborn as sns\n", "from math import ceil\n", "from matplotlib.lines import Line2D\n", "\n", "from pandas.plotting import register_matplotlib_converters\n", "\n", "register_matplotlib_converters()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Set up plotting\n", "current_palette = sns.color_palette()\n", "LANGUAGE_COLORS = {\n", " \"Chinese\": current_palette[0],\n", " \"English\": current_palette[1],\n", " \"Spanish\": current_palette[2],\n", " \"Sign\": current_palette[3],\n", " \"Animal Sound\": current_palette[4],\n", "}\n", "\n", "# Set plotting style\n", "sns.set_style(\"white\")\n", "\n", "# Plot constants\n", "WIDTH = 12\n", "HEIGHT = 7\n", "\n", "# Plot constants\n", "X_MIN, X_MAX = (\"2020-10-01\", \"2021-12-15\")\n", "\n", "Y_MIN, Y_MAX = (0.38041005786659937, 256.8277838060705)\n", "\n", "TITLE_SIZE = 26\n", "AXIS_TITLE_SIZE = 20\n", "\n", "pd.set_option(\"display.max_rows\", None)\n", "\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "NAME = \"Sebastian\"\n", "BIRTH_DATE = datetime.date(2019, 10, 1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Normalize the data" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "def load_data(\n", " file, column_names=[\"timestamp\", \"word\", \"description\", \"language\", \"first_use_alt\"]\n", "):\n", " words_df = pd.read_csv(\n", " file, names=column_names, header=0, parse_dates=[\"timestamp\", \"first_use_alt\"]\n", " )\n", "\n", " # Google changed how the form worked in the middle of my data collection, making it very hard to enter dates,\n", " # so I started using the timestamp as the entry time\n", " words_df[\"first_use\"] = np.where(\n", " words_df[\"first_use_alt\"].notnull(),\n", " words_df[\"first_use_alt\"],\n", " words_df[\"timestamp\"],\n", " )\n", "\n", " # Then keep just the day, instead of the hour:minute:second, since we do not have that level of precision and it makes grouping harder\n", " words_df[\"first_use\"] = words_df[\"first_use\"].dt.date\n", "\n", " # Sort by first use\n", " words_df = words_df.sort_values(\"first_use\")\n", "\n", " # Lowercase all words\n", " words_df[\"word\"] = words_df[\"word\"].str.lower().str.strip()\n", "\n", " # Remove paranthetical remarks\n", " words_df[\"word\"] = words_df[\"word\"].str.split(\"(\").str[0].str.strip()\n", "\n", " # Save the first duplicate, remove the rest\n", " words_df = words_df.drop_duplicates(subset=[\"language\", \"word\"])\n", " words_df = words_df.reset_index(drop=True)\n", "\n", " # Sort by first_use date and then cumulative count\n", " words_df = words_df.sort_values(\"first_use\")\n", " words_df[\"count\"] = words_df.groupby(\"language\").cumcount()\n", " # `.cumcount()` starts from 0, but we want the first word to be 1\n", " words_df[\"count\"] += 1\n", "\n", " words_df = words_df.dropna(axis=\"index\", subset=[\"word\"])\n", "\n", " return words_df" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "def generate_language_day_count_df(words_df):\n", " # Select just the columns we need to plot\n", " language_day_count_df = words_df[[\"first_use\", \"count\", \"language\"]].reset_index(\n", " drop=True\n", " )\n", "\n", " # Add a common start and end point\n", " before_first_day = pd.Timestamp(year=2018, month=12, day=1)\n", " min_day = words_df[\"first_use\"].min()\n", " max_day = words_df[\"first_use\"].max()\n", " for language in language_day_count_df[\"language\"].unique():\n", " max_count = language_day_count_df[\n", " language_day_count_df[\"language\"] == language\n", " ][\"count\"].max()\n", " new_df = pd.DataFrame(\n", " [(min_day, 0, language), (max_day, max_count, language)],\n", " columns=[\"first_use\", \"count\", \"language\"],\n", " )\n", " language_day_count_df = language_day_count_df.append(new_df)\n", "\n", " return language_day_count_df.sort_values([\"first_use\", \"count\"]).reindex()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "words_df = load_data(\"./ash_words.csv\")\n", "language_day_count_df = generate_language_day_count_df(words_df)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
\n", " | timestamp | \n", "word | \n", "description | \n", "language | \n", "first_use_alt | \n", "first_use | \n", "count | \n", "
---|---|---|---|---|---|---|---|
0 | \n", "2020-10-11 09:13:05 | \n", "pointing | \n", "NaN | \n", "Sign | \n", "2020-10-11 | \n", "2020-10-11 | \n", "1 | \n", "
1 | \n", "2020-10-15 17:32:52 | \n", "pick me up | \n", "Arms up | \n", "Sign | \n", "2020-10-14 | \n", "2020-10-14 | \n", "2 | \n", "
2 | \n", "2020-12-03 17:17:18 | \n", "milk | \n", "NaN | \n", "Sign | \n", "NaT | \n", "2020-12-03 | \n", "3 | \n", "
3 | \n", "2020-12-03 17:17:26 | \n", "milk | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2020-12-03 | \n", "1 | \n", "
4 | \n", "2020-12-11 12:14:56 | \n", "mama | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2020-12-11 | \n", "2 | \n", "
5 | \n", "2021-01-23 18:40:22 | \n", "patting mouth | \n", "Making wawa sound | \n", "Sign | \n", "2021-01-03 | \n", "2021-01-03 | \n", "4 | \n", "
6 | \n", "2021-01-17 08:53:13 | \n", "no | \n", "Head shake | \n", "Sign | \n", "NaT | \n", "2021-01-17 | \n", "5 | \n", "
7 | \n", "2021-01-23 18:36:05 | \n", "clapping | \n", "NaN | \n", "Sign | \n", "NaT | \n", "2021-01-23 | \n", "6 | \n", "
8 | \n", "2021-03-07 07:32:00 | \n", "dad | \n", "Daddy | \n", "English | \n", "2021-03-03 | \n", "2021-03-03 | \n", "1 | \n", "
9 | \n", "2021-03-07 07:32:47 | \n", "chicken | \n", "Gai | \n", "Chinese | \n", "2021-03-05 | \n", "2021-03-05 | \n", "3 | \n", "
10 | \n", "2021-03-07 07:34:39 | \n", "tv | \n", "Mat mat moo | \n", "Chinese | \n", "NaT | \n", "2021-03-07 | \n", "4 | \n", "
11 | \n", "2021-03-15 17:53:19 | \n", "cow | \n", "Boo | \n", "Animal Sound | \n", "NaT | \n", "2021-03-15 | \n", "1 | \n", "
12 | \n", "2021-03-24 16:10:02 | \n", "yuck | \n", "Says bah we think for bleh | \n", "English | \n", "NaT | \n", "2021-03-24 | \n", "2 | \n", "
13 | \n", "2021-03-26 16:05:43 | \n", "duck | \n", "NaN | \n", "Animal Sound | \n", "NaT | \n", "2021-03-26 | \n", "2 | \n", "
14 | \n", "2021-03-26 16:06:21 | \n", "hulk | \n", "Says raaar while playing with Lego hulk | \n", "Animal Sound | \n", "NaT | \n", "2021-03-26 | \n", "3 | \n", "
15 | \n", "2021-03-28 17:34:41 | \n", "hot | \n", "Yeet | \n", "Chinese | \n", "NaT | \n", "2021-03-28 | \n", "5 | \n", "
16 | \n", "2021-04-06 17:17:22 | \n", "uh oh | \n", "When things break | \n", "English | \n", "NaT | \n", "2021-04-06 | \n", "3 | \n", "
17 | \n", "2021-04-06 17:18:58 | \n", "eat | \n", "Ah | \n", "sound | \n", "NaT | \n", "2021-04-06 | \n", "1 | \n", "
18 | \n", "2021-04-11 08:43:56 | \n", "bread | \n", "Bao | \n", "Chinese | \n", "NaT | \n", "2021-04-11 | \n", "6 | \n", "
19 | \n", "2021-04-24 11:32:39 | \n", "egg | \n", "Dan dan | \n", "Chinese | \n", "NaT | \n", "2021-04-24 | \n", "7 | \n", "
20 | \n", "2021-04-28 08:36:16 | \n", "here | \n", "Ni doh | \n", "Chinese | \n", "NaT | \n", "2021-04-28 | \n", "8 | \n", "
21 | \n", "2021-04-28 08:39:11 | \n", "that | \n", "Dat | \n", "English | \n", "NaT | \n", "2021-04-28 | \n", "4 | \n", "
22 | \n", "2021-05-02 11:51:46 | \n", "big brother | \n", "Gogh gogh | \n", "Chinese | \n", "NaT | \n", "2021-05-02 | \n", "9 | \n", "
23 | \n", "2021-05-03 22:31:30 | \n", "this | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-05-03 | \n", "5 | \n", "
24 | \n", "2021-05-05 07:45:02 | \n", "no | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-05-05 | \n", "6 | \n", "
25 | \n", "2021-05-06 18:35:04 | \n", "blowing kiss | \n", "NaN | \n", "Sign | \n", "NaT | \n", "2021-05-06 | \n", "7 | \n", "
27 | \n", "2021-05-22 23:00:17 | \n", "horse | \n", "Neigh | \n", "Animal Sound | \n", "2021-05-08 | \n", "2021-05-08 | \n", "4 | \n", "
26 | \n", "2021-05-08 07:56:49 | \n", "little brother | \n", "Dai dai | \n", "Chinese | \n", "NaT | \n", "2021-05-08 | \n", "10 | \n", "
28 | \n", "2021-05-12 18:01:46 | \n", "diaper | \n", "Ee | \n", "Chinese | \n", "NaT | \n", "2021-05-12 | \n", "11 | \n", "
29 | \n", "2021-05-14 23:03:27 | \n", "ouch | \n", "Owie | \n", "English | \n", "NaT | \n", "2021-05-14 | \n", "7 | \n", "
30 | \n", "2021-05-22 18:33:23 | \n", "cat | \n", "Mau mau | \n", "Chinese | \n", "NaT | \n", "2021-05-22 | \n", "12 | \n", "
31 | \n", "2021-05-23 09:12:54 | \n", "mango | \n", "Man gah | \n", "Chinese | \n", "NaT | \n", "2021-05-23 | \n", "13 | \n", "
32 | \n", "2021-05-23 18:49:37 | \n", "rooster | \n", "NaN | \n", "Animal Sound | \n", "NaT | \n", "2021-05-23 | \n", "5 | \n", "
33 | \n", "2021-05-29 12:52:43 | \n", "mom | \n", "Mama | \n", "English | \n", "NaT | \n", "2021-05-29 | \n", "8 | \n", "
34 | \n", "2021-05-30 09:48:54 | \n", "poop | \n", "Boot boot | \n", "Chinese | \n", "NaT | \n", "2021-05-30 | \n", "14 | \n", "
35 | \n", "2021-06-01 12:51:57 | \n", "grandfather | \n", "Go go | \n", "Chinese | \n", "NaT | \n", "2021-06-01 | \n", "15 | \n", "
37 | \n", "2021-06-02 17:01:08 | \n", "bye bye | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-06-02 | \n", "9 | \n", "
36 | \n", "2021-06-02 08:26:07 | \n", "water | \n", "Soo soo | \n", "Chinese | \n", "NaT | \n", "2021-06-02 | \n", "16 | \n", "
38 | \n", "2021-06-06 12:22:47 | \n", "ball | \n", "Ba ba | \n", "English | \n", "NaT | \n", "2021-06-06 | \n", "10 | \n", "
39 | \n", "2021-06-07 21:03:49 | \n", "grandmother | \n", "Ba ba | \n", "Chinese | \n", "NaT | \n", "2021-06-07 | \n", "17 | \n", "
40 | \n", "2021-06-11 10:11:43 | \n", "gondola | \n", "Gon da (at the Oakland zoo) | \n", "English | \n", "NaT | \n", "2021-06-11 | \n", "11 | \n", "
41 | \n", "2021-06-11 18:02:55 | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-06-11 | \n", "12 | \n", "|
42 | \n", "2021-06-11 18:03:10 | \n", "thank you | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-06-11 | \n", "13 | \n", "
43 | \n", "2021-06-12 09:21:41 | \n", "paternal grandmother | \n", "Ama | \n", "English | \n", "NaT | \n", "2021-06-12 | \n", "14 | \n", "
44 | \n", "2021-06-15 18:50:11 | \n", "light | \n", "Don don | \n", "Chinese | \n", "NaT | \n", "2021-06-15 | \n", "18 | \n", "
45 | \n", "2021-06-16 14:40:29 | \n", "hi | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-06-16 | \n", "15 | \n", "
46 | \n", "2021-06-17 09:55:28 | \n", "fish | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-06-17 | \n", "19 | \n", "
47 | \n", "2021-06-18 18:13:44 | \n", "bubble | \n", "Bobo | \n", "Chinese | \n", "NaT | \n", "2021-06-18 | \n", "20 | \n", "
48 | \n", "2021-06-20 18:10:01 | \n", "bubble | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-06-20 | \n", "16 | \n", "
49 | \n", "2021-06-20 22:43:50 | \n", "lion | \n", "Roar | \n", "Animal Sound | \n", "NaT | \n", "2021-06-20 | \n", "6 | \n", "
50 | \n", "2021-06-20 08:43:09 | \n", "cookie | \n", "Gah gah | \n", "Spanish | \n", "NaT | \n", "2021-06-20 | \n", "1 | \n", "
51 | \n", "2021-06-21 15:14:58 | \n", "dog | \n", "Dou dou (can't make g sound yet) | \n", "Chinese | \n", "NaT | \n", "2021-06-21 | \n", "21 | \n", "
52 | \n", "2021-06-24 06:52:37 | \n", "gummie | \n", "Gum | \n", "English | \n", "2021-06-23 | \n", "2021-06-23 | \n", "17 | \n", "
53 | \n", "2021-06-24 23:14:38 | \n", "doorbell | \n", "Ding dong | \n", "English | \n", "NaT | \n", "2021-06-24 | \n", "18 | \n", "
54 | \n", "2021-06-26 17:18:50 | \n", "come | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-06-26 | \n", "19 | \n", "
56 | \n", "2021-06-27 10:25:04 | \n", "throw | \n", "Dum | \n", "Chinese | \n", "NaT | \n", "2021-06-27 | \n", "22 | \n", "
55 | \n", "2021-06-27 08:06:18 | \n", "stop | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-06-27 | \n", "20 | \n", "
57 | \n", "2021-07-01 19:20:29 | \n", "on | \n", "Come on | \n", "English | \n", "NaT | \n", "2021-07-01 | \n", "21 | \n", "
58 | \n", "2021-07-02 06:49:24 | \n", "gorilla | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-07-02 | \n", "22 | \n", "
59 | \n", "2021-07-02 17:14:18 | \n", "bike | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-02 | \n", "23 | \n", "
60 | \n", "2021-07-02 17:48:47 | \n", "pick me up | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-02 | \n", "24 | \n", "
61 | \n", "2021-07-06 15:28:56 | \n", "kitty | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-07-06 | \n", "23 | \n", "
62 | \n", "2021-07-06 09:12:59 | \n", "read | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-06 | \n", "25 | \n", "
68 | \n", "2021-07-10 07:14:36 | \n", "dog | \n", "NaN | \n", "Animal Sound | \n", "NaT | \n", "2021-07-10 | \n", "7 | \n", "
67 | \n", "2021-07-10 07:20:23 | \n", "pig | \n", "NaN | \n", "Animal Sound | \n", "NaT | \n", "2021-07-10 | \n", "8 | \n", "
66 | \n", "2021-07-10 07:15:02 | \n", "cereal | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-07-10 | \n", "24 | \n", "
65 | \n", "2021-07-10 18:56:25 | \n", "duck | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-10 | \n", "26 | \n", "
64 | \n", "2021-07-10 07:17:09 | \n", "popsicle | \n", "Cull | \n", "English | \n", "NaT | \n", "2021-07-10 | \n", "25 | \n", "
63 | \n", "2021-07-10 18:06:54 | \n", "shoe | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-10 | \n", "27 | \n", "
69 | \n", "2021-07-14 11:40:09 | \n", "press | \n", "Um | \n", "Chinese | \n", "NaT | \n", "2021-07-14 | \n", "28 | \n", "
70 | \n", "2021-07-14 15:38:58 | \n", "melon | \n", "Bwai (instead of gwai) | \n", "Chinese | \n", "NaT | \n", "2021-07-14 | \n", "29 | \n", "
71 | \n", "2021-07-14 18:34:55 | \n", "open | \n", "Abre | \n", "Spanish | \n", "NaT | \n", "2021-07-14 | \n", "2 | \n", "
72 | \n", "2021-07-14 22:55:46 | \n", "dun dun | \n", "The name of one of the dinotrux in Chinese, al... | \n", "Chinese | \n", "NaT | \n", "2021-07-14 | \n", "30 | \n", "
74 | \n", "2021-07-15 20:25:13 | \n", "more | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-15 | \n", "31 | \n", "
73 | \n", "2021-07-15 17:49:12 | \n", "rabbit | \n", "Tou | \n", "Chinese | \n", "NaT | \n", "2021-07-15 | \n", "32 | \n", "
75 | \n", "2021-07-16 23:18:45 | \n", "talk | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-16 | \n", "33 | \n", "
76 | \n", "2021-07-16 17:44:17 | \n", "hello | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-07-16 | \n", "26 | \n", "
77 | \n", "2021-07-16 07:39:27 | \n", "banana | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-16 | \n", "34 | \n", "
78 | \n", "2021-07-16 17:44:07 | \n", "open | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-16 | \n", "35 | \n", "
79 | \n", "2021-07-17 06:50:02 | \n", "ok | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-07-17 | \n", "27 | \n", "
80 | \n", "2021-07-17 16:20:36 | \n", "hurt | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-17 | \n", "36 | \n", "
81 | \n", "2021-07-17 22:51:30 | \n", "butt | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-17 | \n", "37 | \n", "
82 | \n", "2021-07-17 22:51:43 | \n", "penis | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-17 | \n", "38 | \n", "
83 | \n", "2021-07-20 19:16:55 | \n", "bite | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-20 | \n", "39 | \n", "
84 | \n", "2021-07-21 18:19:18 | \n", "wait | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-07-21 | \n", "28 | \n", "
85 | \n", "2021-07-22 08:33:52 | \n", "more | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-07-22 | \n", "29 | \n", "
86 | \n", "2021-07-24 06:44:58 | \n", "cat | \n", "NaN | \n", "Animal Sound | \n", "NaT | \n", "2021-07-24 | \n", "9 | \n", "
87 | \n", "2021-07-26 09:43:24 | \n", "train | \n", "Doo doo | \n", "English | \n", "2021-07-25 | \n", "2021-07-25 | \n", "30 | \n", "
88 | \n", "2021-07-27 18:44:36 | \n", "cute | \n", "Hands under chin | \n", "Sign | \n", "NaT | \n", "2021-07-27 | \n", "8 | \n", "
89 | \n", "2021-07-27 11:10:27 | \n", "leg | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-27 | \n", "40 | \n", "
90 | \n", "2021-07-27 14:57:19 | \n", "shoe | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-07-27 | \n", "31 | \n", "
91 | \n", "2021-07-28 07:04:48 | \n", "eyore | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-28 | \n", "41 | \n", "
92 | \n", "2021-07-28 07:04:58 | \n", "tail | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-28 | \n", "42 | \n", "
95 | \n", "2021-07-31 16:50:37 | \n", "help | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-31 | \n", "43 | \n", "
93 | \n", "2021-07-31 08:47:59 | \n", "i | \n", "Nough | \n", "Chinese | \n", "NaT | \n", "2021-07-31 | \n", "44 | \n", "
94 | \n", "2021-07-31 11:08:56 | \n", "stand | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-07-31 | \n", "45 | \n", "
96 | \n", "2021-08-01 23:13:11 | \n", "no | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-08-01 | \n", "46 | \n", "
97 | \n", "2021-08-01 23:12:21 | \n", "head | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-08-01 | \n", "47 | \n", "
98 | \n", "2021-08-01 08:02:05 | \n", "wipe | \n", "Mat mat | \n", "Chinese | \n", "NaT | \n", "2021-08-01 | \n", "48 | \n", "
99 | \n", "2021-08-01 18:51:22 | \n", "eyore | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-08-01 | \n", "32 | \n", "
100 | \n", "2021-08-03 09:27:15 | \n", "dad | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-08-03 | \n", "49 | \n", "
101 | \n", "2021-08-04 17:50:55 | \n", "stop | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-08-04 | \n", "50 | \n", "
102 | \n", "2021-08-05 18:15:58 | \n", "mellon | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-08-05 | \n", "51 | \n", "
103 | \n", "2021-08-06 18:41:39 | \n", "brush | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-08-06 | \n", "52 | \n", "
104 | \n", "2021-08-06 18:41:50 | \n", "tooth | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-08-06 | \n", "53 | \n", "
105 | \n", "2021-08-06 18:42:06 | \n", "monkey | \n", "NaN | \n", "Animal Sound | \n", "NaT | \n", "2021-08-06 | \n", "10 | \n", "
106 | \n", "2021-08-06 18:42:13 | \n", "tickle | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-08-06 | \n", "54 | \n", "
107 | \n", "2021-08-07 11:22:28 | \n", "shark | \n", "Doo Doo from baby shark song | \n", "English | \n", "NaT | \n", "2021-08-07 | \n", "33 | \n", "
108 | \n", "2021-08-07 17:10:05 | \n", "don't want | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-08-07 | \n", "55 | \n", "
110 | \n", "2021-08-10 17:22:44 | \n", "cow | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-08-10 | \n", "34 | \n", "
109 | \n", "2021-08-10 17:22:24 | \n", "cow | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-08-10 | \n", "56 | \n", "
112 | \n", "2021-08-12 08:00:41 | \n", "thanks | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-08-12 | \n", "35 | \n", "
111 | \n", "2021-08-12 07:04:43 | \n", "dinosaur | \n", "Dao | \n", "English | \n", "NaT | \n", "2021-08-12 | \n", "36 | \n", "
113 | \n", "2021-08-15 07:18:21 | \n", "tiger | \n", "NaN | \n", "Animal Sound | \n", "NaT | \n", "2021-08-15 | \n", "11 | \n", "
114 | \n", "2021-08-15 07:18:38 | \n", "elephant | \n", "NaN | \n", "Animal Sound | \n", "NaT | \n", "2021-08-15 | \n", "12 | \n", "
115 | \n", "2021-08-15 15:14:56 | \n", "pants | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-08-15 | \n", "57 | \n", "
116 | \n", "2021-08-15 17:10:31 | \n", "turtle | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-08-15 | \n", "37 | \n", "
117 | \n", "2021-08-16 07:56:17 | \n", "car | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-08-16 | \n", "38 | \n", "
118 | \n", "2021-08-18 21:34:36 | \n", "seat | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-08-18 | \n", "58 | \n", "
122 | \n", "2021-08-20 17:49:13 | \n", "don't | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-08-20 | \n", "39 | \n", "
121 | \n", "2021-08-20 09:42:39 | \n", "eat | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-08-20 | \n", "40 | \n", "
119 | \n", "2021-08-20 08:42:30 | \n", "owl | \n", "NaN | \n", "Animal Sound | \n", "NaT | \n", "2021-08-20 | \n", "13 | \n", "
120 | \n", "2021-08-20 09:42:32 | \n", "climb | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-08-20 | \n", "41 | \n", "
123 | \n", "2021-08-23 17:53:31 | \n", "help | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-08-23 | \n", "42 | \n", "
124 | \n", "2021-08-26 18:17:07 | \n", "corn | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-08-26 | \n", "43 | \n", "
125 | \n", "2021-08-28 10:38:26 | \n", "airplane | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-08-28 | \n", "59 | \n", "
126 | \n", "2021-08-28 17:05:13 | \n", "bowl | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-08-28 | \n", "44 | \n", "
127 | \n", "2021-08-28 09:11:30 | \n", "yes | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-08-28 | \n", "60 | \n", "
128 | \n", "2021-09-07 12:20:12 | \n", "cake | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-07 | \n", "45 | \n", "
131 | \n", "2021-09-08 19:13:35 | \n", "bear | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-09-08 | \n", "61 | \n", "
130 | \n", "2021-09-08 18:54:01 | \n", "sleep | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-09-08 | \n", "62 | \n", "
129 | \n", "2021-09-08 18:53:48 | \n", "horse | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-09-08 | \n", "63 | \n", "
132 | \n", "2021-09-09 18:40:51 | \n", "run | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-09-09 | \n", "64 | \n", "
133 | \n", "2021-09-09 07:24:59 | \n", "turtle | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-09-09 | \n", "65 | \n", "
134 | \n", "2021-09-09 07:24:36 | \n", "good | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-09-09 | \n", "66 | \n", "
135 | \n", "2021-09-09 07:25:10 | \n", "feed | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-09-09 | \n", "67 | \n", "
136 | \n", "2021-09-10 09:01:08 | \n", "apple | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-10 | \n", "46 | \n", "
137 | \n", "2021-09-10 12:19:16 | \n", "stomach | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-09-10 | \n", "68 | \n", "
139 | \n", "2021-09-11 17:54:43 | \n", "noodle | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-09-11 | \n", "69 | \n", "
138 | \n", "2021-09-11 17:54:50 | \n", "put | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-09-11 | \n", "70 | \n", "
140 | \n", "2021-09-12 17:26:22 | \n", "fly | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-09-12 | \n", "71 | \n", "
141 | \n", "2021-09-13 09:23:26 | \n", "hat | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-09-13 | \n", "72 | \n", "
142 | \n", "2021-09-13 12:41:08 | \n", "wow | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-13 | \n", "47 | \n", "
143 | \n", "2021-09-14 07:36:36 | \n", "dinosaur | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-09-14 | \n", "73 | \n", "
144 | \n", "2021-09-14 18:46:12 | \n", "flower | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-14 | \n", "48 | \n", "
145 | \n", "2021-09-16 17:24:49 | \n", "hit | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-09-16 | \n", "74 | \n", "
149 | \n", "2021-09-18 11:39:42 | \n", "rock | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-18 | \n", "49 | \n", "
148 | \n", "2021-09-18 08:24:34 | \n", "dog | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-18 | \n", "50 | \n", "
147 | \n", "2021-09-18 06:52:54 | \n", "tv | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-18 | \n", "51 | \n", "
146 | \n", "2021-09-18 17:43:35 | \n", "blue | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-18 | \n", "52 | \n", "
150 | \n", "2021-09-19 15:47:02 | \n", "snake | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-19 | \n", "53 | \n", "
151 | \n", "2021-09-19 08:46:11 | \n", "stick | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-19 | \n", "54 | \n", "
152 | \n", "2021-09-19 15:46:52 | \n", "goat | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-19 | \n", "55 | \n", "
153 | \n", "2021-09-21 07:49:33 | \n", "spoon | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-21 | \n", "56 | \n", "
154 | \n", "2021-09-23 08:53:13 | \n", "read | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-23 | \n", "57 | \n", "
155 | \n", "2021-09-23 17:58:45 | \n", "color | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-09-23 | \n", "75 | \n", "
159 | \n", "2021-09-25 06:54:01 | \n", "sleep | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-25 | \n", "58 | \n", "
158 | \n", "2021-09-25 12:52:20 | \n", "airplane | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-25 | \n", "59 | \n", "
157 | \n", "2021-09-25 16:33:25 | \n", "cory | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-25 | \n", "60 | \n", "
156 | \n", "2021-09-25 16:33:32 | \n", "bike | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-25 | \n", "61 | \n", "
160 | \n", "2021-09-26 18:53:04 | \n", "book | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-26 | \n", "62 | \n", "
161 | \n", "2021-09-27 07:46:31 | \n", "pants | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-27 | \n", "63 | \n", "
162 | \n", "2021-09-30 07:37:13 | \n", "theodore | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-30 | \n", "64 | \n", "
163 | \n", "2021-09-30 07:42:53 | \n", "tick-tock | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-30 | \n", "65 | \n", "
164 | \n", "2021-09-30 12:29:55 | \n", "banana | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-09-30 | \n", "66 | \n", "
168 | \n", "2021-10-01 12:43:44 | \n", "there | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-01 | \n", "67 | \n", "
167 | \n", "2021-10-01 08:13:49 | \n", "done | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-01 | \n", "68 | \n", "
165 | \n", "2021-10-01 22:56:01 | \n", "swing | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-10-01 | \n", "76 | \n", "
166 | \n", "2021-10-01 08:13:58 | \n", "all | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-01 | \n", "69 | \n", "
169 | \n", "2021-10-02 10:02:02 | \n", "wheel | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-02 | \n", "70 | \n", "
170 | \n", "2021-10-02 18:03:00 | \n", "bear | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-02 | \n", "71 | \n", "
171 | \n", "2021-10-03 09:22:04 | \n", "ghost | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-03 | \n", "72 | \n", "
172 | \n", "2021-10-03 17:03:11 | \n", "clean | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-03 | \n", "73 | \n", "
173 | \n", "2021-10-03 18:56:51 | \n", "chair | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-10-03 | \n", "77 | \n", "
174 | \n", "2021-10-04 12:27:38 | \n", "swing | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-04 | \n", "74 | \n", "
175 | \n", "2021-10-05 06:53:47 | \n", "paper | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-05 | \n", "75 | \n", "
176 | \n", "2021-10-05 06:58:11 | \n", "hulk | \n", "The super hero | \n", "English | \n", "NaT | \n", "2021-10-05 | \n", "76 | \n", "
177 | \n", "2021-10-08 12:35:58 | \n", "pickup | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-10-08 | \n", "78 | \n", "
178 | \n", "2021-10-10 18:06:28 | \n", "theo | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-10 | \n", "77 | \n", "
179 | \n", "2021-10-11 17:58:45 | \n", "walk | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-11 | \n", "78 | \n", "
180 | \n", "2021-10-12 18:44:34 | \n", "green | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-12 | \n", "79 | \n", "
181 | \n", "2021-10-13 18:54:10 | \n", "milk | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-13 | \n", "80 | \n", "
183 | \n", "2021-10-14 18:02:35 | \n", "you | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-14 | \n", "81 | \n", "
184 | \n", "2021-10-14 18:02:25 | \n", "thank | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-14 | \n", "82 | \n", "
182 | \n", "2021-10-14 23:11:22 | \n", "scared | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-10-14 | \n", "79 | \n", "
185 | \n", "2021-10-15 09:18:27 | \n", "spoon | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-10-15 | \n", "80 | \n", "
186 | \n", "2021-10-16 18:22:34 | \n", "witch | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-16 | \n", "83 | \n", "
187 | \n", "2021-10-17 10:05:08 | \n", "water | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-17 | \n", "84 | \n", "
188 | \n", "2021-10-18 17:35:13 | \n", "hit | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-18 | \n", "85 | \n", "
189 | \n", "2021-10-18 12:41:09 | \n", "go | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-18 | \n", "86 | \n", "
190 | \n", "2021-10-18 12:40:57 | \n", "here | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-18 | \n", "87 | \n", "
193 | \n", "2021-10-19 08:17:25 | \n", "clock | \n", "Tick tock | \n", "English | \n", "NaT | \n", "2021-10-19 | \n", "88 | \n", "
192 | \n", "2021-10-19 08:22:36 | \n", "2 | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-19 | \n", "89 | \n", "
191 | \n", "2021-10-19 18:18:49 | \n", "hug | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-19 | \n", "90 | \n", "
194 | \n", "2021-10-20 12:58:15 | \n", "donkey | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-20 | \n", "91 | \n", "
195 | \n", "2021-10-20 17:58:42 | \n", "rain | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-20 | \n", "92 | \n", "
196 | \n", "2021-10-22 07:03:36 | \n", "get | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-22 | \n", "93 | \n", "
197 | \n", "2021-10-22 07:03:43 | \n", "out | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-22 | \n", "94 | \n", "
203 | \n", "2021-10-23 09:34:40 | \n", "octopus | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-23 | \n", "95 | \n", "
202 | \n", "2021-10-23 11:30:56 | \n", "helmet | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-23 | \n", "96 | \n", "
201 | \n", "2021-10-23 11:45:44 | \n", "me | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-23 | \n", "97 | \n", "
200 | \n", "2021-10-23 17:12:19 | \n", "duck | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-23 | \n", "98 | \n", "
199 | \n", "2021-10-23 17:16:01 | \n", "pig | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-23 | \n", "99 | \n", "
198 | \n", "2021-10-23 11:30:48 | \n", "fish | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-23 | \n", "100 | \n", "
204 | \n", "2021-10-24 17:35:20 | \n", "away | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-24 | \n", "101 | \n", "
205 | \n", "2021-10-24 17:35:41 | \n", "wet | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-24 | \n", "102 | \n", "
206 | \n", "2021-10-25 08:18:22 | \n", "phone | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-25 | \n", "103 | \n", "
207 | \n", "2021-10-25 07:38:22 | \n", "nut | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-25 | \n", "104 | \n", "
208 | \n", "2021-10-25 07:30:23 | \n", "push | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-10-25 | \n", "81 | \n", "
209 | \n", "2021-10-26 18:17:41 | \n", "sky | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-10-26 | \n", "82 | \n", "
210 | \n", "2021-10-26 18:08:01 | \n", "fall | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-26 | \n", "105 | \n", "
211 | \n", "2021-10-26 18:04:15 | \n", "spider | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-10-26 | \n", "83 | \n", "
212 | \n", "2021-10-26 17:46:39 | \n", "good night | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-10-26 | \n", "84 | \n", "
213 | \n", "2021-10-26 17:43:20 | \n", "pocky | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-26 | \n", "106 | \n", "
214 | \n", "2021-10-26 11:24:11 | \n", "color | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-26 | \n", "107 | \n", "
215 | \n", "2021-10-26 08:05:52 | \n", "bat | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-26 | \n", "108 | \n", "
216 | \n", "2021-10-26 17:58:41 | \n", "ant | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-26 | \n", "109 | \n", "
218 | \n", "2021-10-27 11:32:57 | \n", "watch | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-10-27 | \n", "85 | \n", "
217 | \n", "2021-10-27 07:01:38 | \n", "balloon | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-10-27 | \n", "86 | \n", "
220 | \n", "2021-10-28 06:12:38 | \n", "sun | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-28 | \n", "110 | \n", "
221 | \n", "2021-10-28 06:12:48 | \n", "house | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-28 | \n", "111 | \n", "
219 | \n", "2021-10-28 07:32:47 | \n", "mine | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-28 | \n", "112 | \n", "
222 | \n", "2021-10-29 11:13:46 | \n", "bark | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-29 | \n", "113 | \n", "
223 | \n", "2021-10-29 11:50:32 | \n", "lion | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-10-29 | \n", "87 | \n", "
224 | \n", "2021-10-29 10:28:54 | \n", "high | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-10-29 | \n", "88 | \n", "
225 | \n", "2021-10-30 17:53:09 | \n", "head | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-30 | \n", "114 | \n", "
226 | \n", "2021-10-30 16:16:48 | \n", "fly | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-30 | \n", "115 | \n", "
227 | \n", "2021-10-31 19:10:34 | \n", "halloween | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-31 | \n", "116 | \n", "
228 | \n", "2021-10-31 06:28:21 | \n", "bug | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-31 | \n", "117 | \n", "
229 | \n", "2021-10-31 17:23:52 | \n", "broke | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-10-31 | \n", "118 | \n", "
230 | \n", "2021-11-01 18:48:33 | \n", "thank you | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-01 | \n", "89 | \n", "
231 | \n", "2021-11-02 07:50:08 | \n", "boots | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-02 | \n", "119 | \n", "
238 | \n", "2021-11-03 07:46:08 | \n", "wolf | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-03 | \n", "120 | \n", "
239 | \n", "2021-11-03 14:08:59 | \n", "dark | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-03 | \n", "121 | \n", "
237 | \n", "2021-11-03 07:56:03 | \n", "moon | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-03 | \n", "122 | \n", "
236 | \n", "2021-11-03 07:59:55 | \n", "whale | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-03 | \n", "123 | \n", "
234 | \n", "2021-11-03 18:16:44 | \n", "bee | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-03 | \n", "124 | \n", "
233 | \n", "2021-11-03 18:17:22 | \n", "down | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-03 | \n", "125 | \n", "
232 | \n", "2021-11-03 15:42:01 | \n", "feet | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-03 | \n", "126 | \n", "
235 | \n", "2021-11-03 15:41:38 | \n", "pet | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-03 | \n", "127 | \n", "
240 | \n", "2021-11-04 17:15:43 | \n", "sound | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-04 | \n", "128 | \n", "
241 | \n", "2021-11-05 17:12:16 | \n", "egg | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-05 | \n", "129 | \n", "
242 | \n", "2021-11-06 07:38:30 | \n", "gabby | \n", "From Gabby's dollhouse show | \n", "English | \n", "NaT | \n", "2021-11-06 | \n", "130 | \n", "
243 | \n", "2021-11-07 15:14:05 | \n", "put away | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-07 | \n", "90 | \n", "
244 | \n", "2021-11-07 16:19:15 | \n", "sit | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-07 | \n", "91 | \n", "
245 | \n", "2021-11-07 15:13:58 | \n", "wet | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-07 | \n", "92 | \n", "
246 | \n", "2021-11-15 18:34:01 | \n", "ready | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-15 | \n", "131 | \n", "
247 | \n", "2021-11-15 18:06:28 | \n", "attack | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-15 | \n", "132 | \n", "
248 | \n", "2021-11-15 16:58:48 | \n", "chase | \n", "the police dog | \n", "Chinese | \n", "NaT | \n", "2021-11-15 | \n", "93 | \n", "
249 | \n", "2021-11-16 08:39:36 | \n", "draw | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-16 | \n", "94 | \n", "
254 | \n", "2021-11-17 08:16:57 | \n", "white | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-17 | \n", "133 | \n", "
253 | \n", "2021-11-17 08:17:04 | \n", "cat | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-17 | \n", "134 | \n", "
255 | \n", "2021-11-17 08:16:50 | \n", "1 | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-17 | \n", "135 | \n", "
251 | \n", "2021-11-17 08:36:10 | \n", "home | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-17 | \n", "136 | \n", "
250 | \n", "2021-11-17 08:30:11 | \n", "mouth | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-17 | \n", "137 | \n", "
252 | \n", "2021-11-17 08:30:03 | \n", "ear | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-17 | \n", "138 | \n", "
256 | \n", "2021-11-17 07:57:07 | \n", "button | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-17 | \n", "139 | \n", "
257 | \n", "2021-11-18 15:47:02 | \n", "there | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-18 | \n", "95 | \n", "
258 | \n", "2021-11-20 11:33:40 | \n", "ice cream | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-20 | \n", "96 | \n", "
259 | \n", "2021-11-21 07:50:01 | \n", "very | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-21 | \n", "97 | \n", "
260 | \n", "2021-11-21 07:50:24 | \n", "please | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-21 | \n", "140 | \n", "
261 | \n", "2021-11-22 16:26:37 | \n", "sure | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-22 | \n", "141 | \n", "
262 | \n", "2021-11-22 10:32:11 | \n", "buy | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-22 | \n", "98 | \n", "
263 | \n", "2021-11-24 11:02:22 | \n", "foot | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-24 | \n", "142 | \n", "
264 | \n", "2021-11-24 16:24:56 | \n", "aunt | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-24 | \n", "99 | \n", "
265 | \n", "2021-11-24 16:25:03 | \n", "fa | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-24 | \n", "100 | \n", "
266 | \n", "2021-11-24 16:49:27 | \n", "miho | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-24 | \n", "101 | \n", "
273 | \n", "2021-11-25 11:04:50 | \n", "1 | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-25 | \n", "102 | \n", "
272 | \n", "2021-11-25 11:04:56 | \n", "2 | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-25 | \n", "103 | \n", "
271 | \n", "2021-11-25 11:05:03 | \n", "3 | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-25 | \n", "104 | \n", "
274 | \n", "2021-11-25 11:05:16 | \n", "5 | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-25 | \n", "105 | \n", "
269 | \n", "2021-11-25 11:05:29 | \n", "7 | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-25 | \n", "106 | \n", "
268 | \n", "2021-11-25 11:05:22 | \n", "6 | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-25 | \n", "107 | \n", "
267 | \n", "2021-11-25 11:05:35 | \n", "8 | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-25 | \n", "108 | \n", "
270 | \n", "2021-11-25 11:05:09 | \n", "4 | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-25 | \n", "109 | \n", "
275 | \n", "2021-11-26 10:59:50 | \n", "we | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-26 | \n", "143 | \n", "
276 | \n", "2021-11-27 11:29:36 | \n", "stuck | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-27 | \n", "144 | \n", "
277 | \n", "2021-11-27 18:32:25 | \n", "boot | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-27 | \n", "145 | \n", "
278 | \n", "2021-11-27 18:32:18 | \n", "what | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-27 | \n", "146 | \n", "
281 | \n", "2021-11-28 17:14:54 | \n", "not | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-28 | \n", "147 | \n", "
280 | \n", "2021-11-28 17:22:36 | \n", "close | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-28 | \n", "148 | \n", "
279 | \n", "2021-11-28 17:22:44 | \n", "door | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-28 | \n", "149 | \n", "
282 | \n", "2021-11-30 08:33:11 | \n", "shut | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-30 | \n", "150 | \n", "
283 | \n", "2021-11-30 10:48:44 | \n", "bee | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-11-30 | \n", "110 | \n", "
284 | \n", "2021-11-30 06:35:10 | \n", "watch | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-11-30 | \n", "151 | \n", "
285 | \n", "2021-12-01 08:48:41 | \n", "shower | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-12-01 | \n", "152 | \n", "
286 | \n", "2021-12-02 22:04:31 | \n", "other | \n", "NaN | \n", "Spanish | \n", "NaT | \n", "2021-12-02 | \n", "3 | \n", "
287 | \n", "2021-12-02 22:04:58 | \n", "monkey | \n", "NaN | \n", "Spanish | \n", "NaT | \n", "2021-12-02 | \n", "4 | \n", "
288 | \n", "2021-12-02 22:05:31 | \n", "again | \n", "NaN | \n", "Spanish | \n", "NaT | \n", "2021-12-02 | \n", "5 | \n", "
292 | \n", "2021-12-03 12:33:14 | \n", "popcorn | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-12-03 | \n", "153 | \n", "
291 | \n", "2021-12-03 18:06:30 | \n", "walk | \n", "NaN | \n", "Chinese | \n", "NaT | \n", "2021-12-03 | \n", "111 | \n", "
293 | \n", "2021-12-03 08:53:26 | \n", "a | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-12-03 | \n", "154 | \n", "
289 | \n", "2021-12-03 18:00:11 | \n", "ama | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-12-03 | \n", "155 | \n", "
290 | \n", "2021-12-03 12:33:32 | \n", "sticker | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-12-03 | \n", "156 | \n", "
294 | \n", "2021-12-03 08:53:16 | \n", "snowman | \n", "NaN | \n", "English | \n", "NaT | \n", "2021-12-03 | \n", "157 | \n", "