diff --git a/test_shweta_panda_practice.ipynb b/test_shweta_panda_practice.ipynb
new file mode 100644
index 0000000..1f59d1b
--- /dev/null
+++ b/test_shweta_panda_practice.ipynb
@@ -0,0 +1,720 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "91f3a7a0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as ny\n",
+    "import matplotlib.pyplot as mlt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "64178888",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = pd.read_csv('data/AAPL.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "d9d1f9ad",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Date</th>\n",
+       "      <th>Open</th>\n",
+       "      <th>High</th>\n",
+       "      <th>Low</th>\n",
+       "      <th>Close</th>\n",
+       "      <th>Volume</th>\n",
+       "      <th>Ex-Dividend</th>\n",
+       "      <th>Split Ratio</th>\n",
+       "      <th>Adj. Open</th>\n",
+       "      <th>Adj. High</th>\n",
+       "      <th>Adj. Low</th>\n",
+       "      <th>Adj. Close</th>\n",
+       "      <th>Adj. Volume</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2007-12-03</td>\n",
+       "      <td>181.86</td>\n",
+       "      <td>184.14</td>\n",
+       "      <td>177.70</td>\n",
+       "      <td>178.8600</td>\n",
+       "      <td>34338200.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>23.371545</td>\n",
+       "      <td>23.664556</td>\n",
+       "      <td>22.836927</td>\n",
+       "      <td>22.986003</td>\n",
+       "      <td>240367400.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2007-12-04</td>\n",
+       "      <td>177.15</td>\n",
+       "      <td>180.90</td>\n",
+       "      <td>176.99</td>\n",
+       "      <td>179.8100</td>\n",
+       "      <td>27635700.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>22.766244</td>\n",
+       "      <td>23.248171</td>\n",
+       "      <td>22.745682</td>\n",
+       "      <td>23.108091</td>\n",
+       "      <td>193449900.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2007-12-05</td>\n",
+       "      <td>182.89</td>\n",
+       "      <td>186.00</td>\n",
+       "      <td>182.41</td>\n",
+       "      <td>185.5000</td>\n",
+       "      <td>31871500.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>23.503914</td>\n",
+       "      <td>23.903592</td>\n",
+       "      <td>23.442227</td>\n",
+       "      <td>23.839335</td>\n",
+       "      <td>223100500.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2007-12-06</td>\n",
+       "      <td>186.19</td>\n",
+       "      <td>190.10</td>\n",
+       "      <td>186.12</td>\n",
+       "      <td>189.9528</td>\n",
+       "      <td>32136100.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>23.928010</td>\n",
+       "      <td>24.430500</td>\n",
+       "      <td>23.919014</td>\n",
+       "      <td>24.411582</td>\n",
+       "      <td>224952700.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2007-12-07</td>\n",
+       "      <td>190.54</td>\n",
+       "      <td>194.99</td>\n",
+       "      <td>188.04</td>\n",
+       "      <td>194.3000</td>\n",
+       "      <td>38073800.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>24.487046</td>\n",
+       "      <td>25.058933</td>\n",
+       "      <td>24.165761</td>\n",
+       "      <td>24.970258</td>\n",
+       "      <td>266516600.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         Date    Open    High     Low     Close      Volume  Ex-Dividend  \\\n",
+       "0  2007-12-03  181.86  184.14  177.70  178.8600  34338200.0          0.0   \n",
+       "1  2007-12-04  177.15  180.90  176.99  179.8100  27635700.0          0.0   \n",
+       "2  2007-12-05  182.89  186.00  182.41  185.5000  31871500.0          0.0   \n",
+       "3  2007-12-06  186.19  190.10  186.12  189.9528  32136100.0          0.0   \n",
+       "4  2007-12-07  190.54  194.99  188.04  194.3000  38073800.0          0.0   \n",
+       "\n",
+       "   Split Ratio  Adj. Open  Adj. High   Adj. Low  Adj. Close  Adj. Volume  \n",
+       "0          1.0  23.371545  23.664556  22.836927   22.986003  240367400.0  \n",
+       "1          1.0  22.766244  23.248171  22.745682   23.108091  193449900.0  \n",
+       "2          1.0  23.503914  23.903592  23.442227   23.839335  223100500.0  \n",
+       "3          1.0  23.928010  24.430500  23.919014   24.411582  224952700.0  \n",
+       "4          1.0  24.487046  25.058933  24.165761   24.970258  266516600.0  "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "c47e9d04",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
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+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Date</th>\n",
+       "      <th>Open</th>\n",
+       "      <th>High</th>\n",
+       "      <th>Low</th>\n",
+       "      <th>Close</th>\n",
+       "      <th>Volume</th>\n",
+       "      <th>Ex-Dividend</th>\n",
+       "      <th>Split Ratio</th>\n",
+       "      <th>Adj. Open</th>\n",
+       "      <th>Adj. High</th>\n",
+       "      <th>Adj. Low</th>\n",
+       "      <th>Adj. Close</th>\n",
+       "      <th>Adj. Volume</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2512</th>\n",
+       "      <td>2017-11-27</td>\n",
+       "      <td>175.05</td>\n",
+       "      <td>175.08</td>\n",
+       "      <td>173.34</td>\n",
+       "      <td>174.09</td>\n",
+       "      <td>20536313.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>175.05</td>\n",
+       "      <td>175.08</td>\n",
+       "      <td>173.34</td>\n",
+       "      <td>174.09</td>\n",
+       "      <td>20536313.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2513</th>\n",
+       "      <td>2017-11-28</td>\n",
+       "      <td>174.30</td>\n",
+       "      <td>174.87</td>\n",
+       "      <td>171.86</td>\n",
+       "      <td>173.07</td>\n",
+       "      <td>25468442.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>174.30</td>\n",
+       "      <td>174.87</td>\n",
+       "      <td>171.86</td>\n",
+       "      <td>173.07</td>\n",
+       "      <td>25468442.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2514</th>\n",
+       "      <td>2017-11-29</td>\n",
+       "      <td>172.63</td>\n",
+       "      <td>172.92</td>\n",
+       "      <td>167.16</td>\n",
+       "      <td>169.48</td>\n",
+       "      <td>40788324.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>172.63</td>\n",
+       "      <td>172.92</td>\n",
+       "      <td>167.16</td>\n",
+       "      <td>169.48</td>\n",
+       "      <td>40788324.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2515</th>\n",
+       "      <td>2017-11-30</td>\n",
+       "      <td>170.43</td>\n",
+       "      <td>172.14</td>\n",
+       "      <td>168.44</td>\n",
+       "      <td>171.85</td>\n",
+       "      <td>40172368.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>170.43</td>\n",
+       "      <td>172.14</td>\n",
+       "      <td>168.44</td>\n",
+       "      <td>171.85</td>\n",
+       "      <td>40172368.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2516</th>\n",
+       "      <td>2017-12-01</td>\n",
+       "      <td>169.95</td>\n",
+       "      <td>171.67</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>171.05</td>\n",
+       "      <td>39590080.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>169.95</td>\n",
+       "      <td>171.67</td>\n",
+       "      <td>168.50</td>\n",
+       "      <td>171.05</td>\n",
+       "      <td>39590080.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Date    Open    High     Low   Close      Volume  Ex-Dividend  \\\n",
+       "2512  2017-11-27  175.05  175.08  173.34  174.09  20536313.0          0.0   \n",
+       "2513  2017-11-28  174.30  174.87  171.86  173.07  25468442.0          0.0   \n",
+       "2514  2017-11-29  172.63  172.92  167.16  169.48  40788324.0          0.0   \n",
+       "2515  2017-11-30  170.43  172.14  168.44  171.85  40172368.0          0.0   \n",
+       "2516  2017-12-01  169.95  171.67  168.50  171.05  39590080.0          0.0   \n",
+       "\n",
+       "      Split Ratio  Adj. Open  Adj. High  Adj. Low  Adj. Close  Adj. Volume  \n",
+       "2512          1.0     175.05     175.08    173.34      174.09   20536313.0  \n",
+       "2513          1.0     174.30     174.87    171.86      173.07   25468442.0  \n",
+       "2514          1.0     172.63     172.92    167.16      169.48   40788324.0  \n",
+       "2515          1.0     170.43     172.14    168.44      171.85   40172368.0  \n",
+       "2516          1.0     169.95     171.67    168.50      171.05   39590080.0  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.tail()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "b8639cc2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
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+       "\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Open</th>\n",
+       "      <th>High</th>\n",
+       "      <th>Low</th>\n",
+       "      <th>Close</th>\n",
+       "      <th>Volume</th>\n",
+       "      <th>Ex-Dividend</th>\n",
+       "      <th>Split Ratio</th>\n",
+       "      <th>Adj. Open</th>\n",
+       "      <th>Adj. High</th>\n",
+       "      <th>Adj. Low</th>\n",
+       "      <th>Adj. Close</th>\n",
+       "      <th>Adj. Volume</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>2517.000000</td>\n",
+       "      <td>2517.000000</td>\n",
+       "      <td>2517.000000</td>\n",
+       "      <td>2517.000000</td>\n",
+       "      <td>2.517000e+03</td>\n",
+       "      <td>2517.000000</td>\n",
+       "      <td>2517.000000</td>\n",
+       "      <td>2517.000000</td>\n",
+       "      <td>2517.000000</td>\n",
+       "      <td>2517.000000</td>\n",
+       "      <td>2517.000000</td>\n",
+       "      <td>2.517000e+03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>263.235311</td>\n",
+       "      <td>265.801348</td>\n",
+       "      <td>260.336205</td>\n",
+       "      <td>263.127366</td>\n",
+       "      <td>2.852099e+07</td>\n",
+       "      <td>0.012106</td>\n",
+       "      <td>1.002384</td>\n",
+       "      <td>69.530388</td>\n",
+       "      <td>70.146739</td>\n",
+       "      <td>68.859019</td>\n",
+       "      <td>69.521432</td>\n",
+       "      <td>1.127563e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>173.613599</td>\n",
+       "      <td>174.982481</td>\n",
+       "      <td>171.935276</td>\n",
+       "      <td>173.465652</td>\n",
+       "      <td>1.864789e+07</td>\n",
+       "      <td>0.169834</td>\n",
+       "      <td>0.119594</td>\n",
+       "      <td>41.249270</td>\n",
+       "      <td>41.497832</td>\n",
+       "      <td>40.983891</td>\n",
+       "      <td>41.256543</td>\n",
+       "      <td>9.019723e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>79.450000</td>\n",
+       "      <td>82.000000</td>\n",
+       "      <td>78.200000</td>\n",
+       "      <td>78.200000</td>\n",
+       "      <td>5.624800e+06</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>10.210432</td>\n",
+       "      <td>10.538143</td>\n",
+       "      <td>10.049790</td>\n",
+       "      <td>10.049790</td>\n",
+       "      <td>1.147592e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>117.625000</td>\n",
+       "      <td>118.690000</td>\n",
+       "      <td>116.490000</td>\n",
+       "      <td>117.640000</td>\n",
+       "      <td>1.527690e+07</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>32.317400</td>\n",
+       "      <td>32.723504</td>\n",
+       "      <td>31.924147</td>\n",
+       "      <td>32.314830</td>\n",
+       "      <td>4.705392e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>175.570000</td>\n",
+       "      <td>179.290000</td>\n",
+       "      <td>173.510000</td>\n",
+       "      <td>175.740000</td>\n",
+       "      <td>2.348750e+07</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>66.593564</td>\n",
+       "      <td>67.199938</td>\n",
+       "      <td>66.004837</td>\n",
+       "      <td>66.541004</td>\n",
+       "      <td>9.057650e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>400.190000</td>\n",
+       "      <td>403.980000</td>\n",
+       "      <td>395.660000</td>\n",
+       "      <td>400.290000</td>\n",
+       "      <td>3.641458e+07</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>103.339263</td>\n",
+       "      <td>104.150222</td>\n",
+       "      <td>102.127781</td>\n",
+       "      <td>103.284455</td>\n",
+       "      <td>1.493842e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>702.410000</td>\n",
+       "      <td>705.070000</td>\n",
+       "      <td>699.570000</td>\n",
+       "      <td>702.100000</td>\n",
+       "      <td>1.895606e+08</td>\n",
+       "      <td>3.290000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>175.110000</td>\n",
+       "      <td>176.095000</td>\n",
+       "      <td>174.645900</td>\n",
+       "      <td>175.880000</td>\n",
+       "      <td>8.432424e+08</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              Open         High          Low        Close        Volume  \\\n",
+       "count  2517.000000  2517.000000  2517.000000  2517.000000  2.517000e+03   \n",
+       "mean    263.235311   265.801348   260.336205   263.127366  2.852099e+07   \n",
+       "std     173.613599   174.982481   171.935276   173.465652  1.864789e+07   \n",
+       "min      79.450000    82.000000    78.200000    78.200000  5.624800e+06   \n",
+       "25%     117.625000   118.690000   116.490000   117.640000  1.527690e+07   \n",
+       "50%     175.570000   179.290000   173.510000   175.740000  2.348750e+07   \n",
+       "75%     400.190000   403.980000   395.660000   400.290000  3.641458e+07   \n",
+       "max     702.410000   705.070000   699.570000   702.100000  1.895606e+08   \n",
+       "\n",
+       "       Ex-Dividend  Split Ratio    Adj. Open    Adj. High     Adj. Low  \\\n",
+       "count  2517.000000  2517.000000  2517.000000  2517.000000  2517.000000   \n",
+       "mean      0.012106     1.002384    69.530388    70.146739    68.859019   \n",
+       "std       0.169834     0.119594    41.249270    41.497832    40.983891   \n",
+       "min       0.000000     1.000000    10.210432    10.538143    10.049790   \n",
+       "25%       0.000000     1.000000    32.317400    32.723504    31.924147   \n",
+       "50%       0.000000     1.000000    66.593564    67.199938    66.004837   \n",
+       "75%       0.000000     1.000000   103.339263   104.150222   102.127781   \n",
+       "max       3.290000     7.000000   175.110000   176.095000   174.645900   \n",
+       "\n",
+       "        Adj. Close   Adj. Volume  \n",
+       "count  2517.000000  2.517000e+03  \n",
+       "mean     69.521432  1.127563e+08  \n",
+       "std      41.256543  9.019723e+07  \n",
+       "min      10.049790  1.147592e+07  \n",
+       "25%      32.314830  4.705392e+07  \n",
+       "50%      66.541004  9.057650e+07  \n",
+       "75%     103.284455  1.493842e+08  \n",
+       "max     175.880000  8.432424e+08  "
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "f3d3f447",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data['Adj. Open'].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "5de5b313",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data['Open'].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "bb9eff82",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "c497f229",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 2517 entries, 0 to 2516\n",
+      "Data columns (total 13 columns):\n",
+      " #   Column       Non-Null Count  Dtype  \n",
+      "---  ------       --------------  -----  \n",
+      " 0   Date         2517 non-null   object \n",
+      " 1   Open         2517 non-null   float64\n",
+      " 2   High         2517 non-null   float64\n",
+      " 3   Low          2517 non-null   float64\n",
+      " 4   Close        2517 non-null   float64\n",
+      " 5   Volume       2517 non-null   float64\n",
+      " 6   Ex-Dividend  2517 non-null   float64\n",
+      " 7   Split Ratio  2517 non-null   float64\n",
+      " 8   Adj. Open    2517 non-null   float64\n",
+      " 9   Adj. High    2517 non-null   float64\n",
+      " 10  Adj. Low     2517 non-null   float64\n",
+      " 11  Adj. Close   2517 non-null   float64\n",
+      " 12  Adj. Volume  2517 non-null   float64\n",
+      "dtypes: float64(12), object(1)\n",
+      "memory usage: 255.8+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "data.info()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "68b5d1cd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Date', 'Open', 'High', 'Low', 'Close', 'Volume', 'Ex-Dividend',\n",
+       "       'Split Ratio', 'Adj. Open', 'Adj. High', 'Adj. Low', 'Adj. Close',\n",
+       "       'Adj. Volume'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3f21c168",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}