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‎notebooks/dataframes/anywidget_mode.ipynb‎

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{
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@@ -232,98 +232,98 @@
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" <td>AL</td>\n",
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" <td>F</td>\n",
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" <td>1910</td>\n",
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" <td>Lillian</td>\n",
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" <td>99</td>\n",
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" <td>Annie</td>\n",
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" <td>482</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>AL</td>\n",
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" <td>F</td>\n",
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" <td>1910</td>\n",
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" <td>Ruby</td>\n",
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" <td>204</td>\n",
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" <td>Myrtle</td>\n",
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" <td>104</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>AL</td>\n",
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" <td>AR</td>\n",
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" <td>F</td>\n",
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" <td>1910</td>\n",
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" <td>Helen</td>\n",
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" <td>76</td>\n",
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" <td>Lillian</td>\n",
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" <td>56</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>AL</td>\n",
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" <td>CT</td>\n",
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" <td>F</td>\n",
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" <td>1910</td>\n",
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" <td>Eunice</td>\n",
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" <td>41</td>\n",
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" <td>Anne</td>\n",
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" <td>38</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>AR</td>\n",
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" <td>CT</td>\n",
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" <td>F</td>\n",
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" <td>1910</td>\n",
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" <td>Dora</td>\n",
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" <td>42</td>\n",
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" <td>Frances</td>\n",
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" <td>45</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td>CA</td>\n",
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" <td>FL</td>\n",
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" <td>F</td>\n",
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" <td>1910</td>\n",
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" <td>Edna</td>\n",
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" <td>62</td>\n",
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" <td>Margaret</td>\n",
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" <td>53</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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" <td>CA</td>\n",
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" <td>GA</td>\n",
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" <td>F</td>\n",
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" <td>1910</td>\n",
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" <td>Helen</td>\n",
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" <td>239</td>\n",
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" <td>Mae</td>\n",
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" <td>73</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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" <td>CO</td>\n",
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" <td>GA</td>\n",
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" <td>F</td>\n",
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" <td>1910</td>\n",
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" <td>Alice</td>\n",
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" <td>46</td>\n",
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" <td>Beatrice</td>\n",
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" <td>96</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>8</th>\n",
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" <td>FL</td>\n",
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" <td>GA</td>\n",
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" <td>F</td>\n",
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" <td>1910</td>\n",
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" <td>Willie</td>\n",
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" <td>71</td>\n",
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" <td>Lola</td>\n",
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" <td>47</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9</th>\n",
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" <td>FL</td>\n",
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" <td>IA</td>\n",
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" <td>F</td>\n",
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" <td>1910</td>\n",
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" <td>Viola</td>\n",
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" <td>49</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"<p>10 rows × 5 columns</p>\n",
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"</div>[5552452 rows x 5 columns in total]"
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],
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"text/plain": [
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"state gender year name number\n",
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" AL F 1910 Lillian 99\n",
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" AL F 1910 Ruby 204\n",
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" AL F 1910 Helen 76\n",
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" AL F 1910 Eunice 41\n",
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" AR F 1910 Dora 42\n",
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" CA F 1910 Edna 62\n",
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" CA F 1910 Helen 239\n",
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" CO F 1910 Alice 46\n",
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" FL F 1910 Willie 71\n",
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" FL F 1910 Thelma 65\n",
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"state gender year name number\n",
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" AL F 1910 Annie 482\n",
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" AL F 1910 Myrtle 104\n",
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" AR F 1910 Lillian 56\n",
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" CT F 1910 Anne 38\n",
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" CT F 1910 Frances 45\n",
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" FL F 1910 Margaret 53\n",
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" GA F 1910 Mae 73\n",
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" GA F 1910 Beatrice 96\n",
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" GA F 1910 Lola 47\n",
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" IA F 1910 Viola 49\n",
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"...\n",
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"\n",
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"[5552452 rows x 5 columns]"
@@ -409,12 +409,12 @@
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@@ -563,7 +563,7 @@
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"✅ Completed. \n",
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@@ -726,24 +726,6 @@
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" <td>EU</td>\n",
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735-
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737-
" <td>MASTHÄHNCHENCONTAINER ALS BESTANDTEIL EINER E...</td>\n",
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739-
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@@ -755,6 +737,24 @@
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" <td>METHOD EXECUTED BY A COMPUTER, INFORMATION PRO...</td>\n",
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749+
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" <td>05.02.2015</td>\n",
751+
" <td>05.02.2014</td>\n",
752+
" <td>Stork Bamberger Patentanwälte</td>\n",
753+
" <td>Linco Food Systems A/S</td>\n",
754+
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"0 29.08.018 E04H 6/12 <NA> 18157874.1 \n",
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782-
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783-
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783+
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"\n",
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" filing_date priority_date_eu representative_line_1_eu \\\n",
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"0 21.02.2018 22.02.2017 Liedtke & Partner Patentanwälte \n",
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"1 03.04.2018 30.03.2017 <NA> \n",
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"2 16.02.2016 <NA> Scheider, Sascha et al \n",
789-
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790-
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789+
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"\n",
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" applicant_line_1 inventor_line_1 \\\n",
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"0 SHB Hebezeugbau GmbH VOLGER, Alexander \n",
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"1 BSH Hausgeräte GmbH Acero Acero, Jesus \n",
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"2 EV Group E. Thallner GmbH Kurz, Florian \n",
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"3 Linco Food Systems A/S Thrane, Uffe \n",
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"4 FUJITSU LIMITED Kukihara, Kensuke \n",
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"3 FUJITSU LIMITED Kukihara, Kensuke \n",
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"\n",
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" title_line_1 number \n",
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"0 STEUERUNGSSYSTEM FÜR AUTOMATISCHE PARKHÄUSER EP 3 366 869 A1 \n",
801801
"1 VORRICHTUNG ZUR INDUKTIVEN ENERGIE√úBERTRAGUNG EP 3 383 141 A2 \n",
802802
"2 VORRICHTUNG ZUM BONDEN VON SUBSTRATEN EP 3 382 744 A1 \n",
803-
"3 MASTHÄHNCHENCONTAINER ALS BESTANDTEIL EINER E... EP 3 381 276 A1 \n",
804-
"4 METHOD EXECUTED BY A COMPUTER, INFORMATION PRO... EP 3 382 553 A1 \n",
803+
"3 METHOD EXECUTED BY A COMPUTER, INFORMATION PRO... EP 3 382 553 A1 \n",
804+
"4 MASTHÄHNCHENCONTAINER ALS BESTANDTEIL EINER E... EP 3 381 276 A1 \n",
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"\n",
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"[5 rows x 15 columns]"
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@@ -824,6 +824,17 @@
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{
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"cell_type": "markdown",
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"id": "e89b4784",
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"metadata": {},
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"source": [
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"### Displaying Nested Data (STRUCTs and ARRAYs)\n",
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"BigQuery DataFrames automatically flattens nested STRUCT and ARRAY columns into separate, more manageable columns when displayed in `anywidget` mode. This approach simplifies interaction and readability, as it avoids deeply nested or collapsible elements.\n",
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"\n",
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"This flattening ensures that all data is directly visible and sortable, enhancing the interactive table experience.\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
@@ -871,7 +882,7 @@
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